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Enterprise analytics: Ideal vs. Reality

September 28, 2021 | 12 views

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

Spotlight

TWINN iNTELLIGENCE GROUP

Twinn Intelligence Group is a veteran-owned small business founded on Prior Military SIGINT and government industry experience, providing focused business and technology consulting across the intelligence and defense communities since 2004. We were established based on operational intelligence solutions and technologies to meet national security objectives.

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BIG DATA MANAGEMENT

Augmented Analytics: The Next-Big Thing in Data Analytics

Article | June 1, 2022

The next significant wave in data and analytics will empower businesses to achieve business value quicker, more effectively, and on a far wider scale. The integration of artificial intelligence and predictive analytics alters the way analytical material is produced, consumed, and shared. Yes, we are discussing augmented analytics. Augmented analytics assists in digging deeper into the "why" of the result and produces more accurate predictions. Augmented Analytics: A Valuable Tech for Businesses How Augmented Analytics Empowers Marketers in Making Better Decisions and Converting Prospects Marketing teams all across the globe are battling with frozen or declining budgets, yet they are still expected to generate pipelines and increase revenue. The great news is that, due to the advantages of augmented analytics, marketers no longer have to depend just on gut sense, previous experience, estimations, or trial and error. Instead, they can depend on data-driven marketing choices that are based on insights generated by augmented analytics. Augmented analytics uses AI and ML to discover key drivers and helps marketers understand why metrics change. Augmented analytics provides recommendations and actionable insights to marketers and helps them improve campaign outcomes. Augmented analytics reduces time-to-insight by automatically surfacing actionable insights on various customer data points to increase conversion and win. Augmented analytics minimize human work and turnaround time on insights, assisting marketers in recognizing areas of greatest potential and increasing ROI on marketing expenditures. According to Salesforce Research, the top reason marketers embraced AI in 2021 was to drive the next best actions. That is exactly what augmented analytics offers marketers: the ability to provide actionable insights to teams. Closing Notes Every day, the incredible rise of IoT devices generates massive amounts of data. The AI-powered analytical tools can extract the maximum value from the data.

Read More
BIG DATA MANAGEMENT

Can Blockchain Change The Game Of Data Analytics And Data Science?

Article | June 24, 2022

Blockchain has been causing ripples across major industries and verticals in the recent couple of years. We are seeing the future potential of blockchain technology that is scaling beyond just cryptocurrencies and trading. It is only natural that Blockchain is going to have a huge impact on Data Analytics, another field that has been booming and seems to continue in the same trajectory for the foreseeable future. However, very little research has been done on the implications of blockchain on Data Science or the potential of Data Science in Blockchain. While Blockchain is about validating data and data science is about predictions and patterns, they are linked together by the fact that they both use algorithms to control interactions between various data points. Blockchain in Big Data Analytics Big Data has traditionally been a very centralized method where we had to collate data from various sources and bring it together in one place. Blockchain, considering its decentralized nature can potentially allow analysis of data to happen at the origin nodes of individual sources. Also, considering that all data parsed through blockchain is validated across networks in a fool proof manner, the data integrity is ensured. This can be a game changer for analytics. With the digital age creating so many new data points and making data more accessible than ever, the need for diving into depth with advanced analytics has been realized by businesses around the world. However, the data is still not organized and it takes a very long time to bring them together to make sense of it. The other key challenge in Big Data remains data security. Centralized systems historically have been known for their vulnerability for leaks and hacks. A decentralized infrastructure can address both of the above challenges enabling data scientists to build a robust infrastructure to build a predictive data model and also giving rise to new possibilities for more real time analysis. Can Blockchain Enhance Data Science? Blockchain can address some of the key aspects of Data Science and Analytics. Data Security & Encoding: The smart contracts ensure that no transaction can be reversed or hidden. The complex mathematical algorithms that form the base of Blockchain are built to encrypt every single transaction on the ledger. Origin Tracing & Integrity: Blockchain technology is known for enabling P2P relationships. With blockchain technology, the ledgers can be transparent channels where the data flowing through it is validated and every stakeholder involved in the process is made accountable and accessible. This also enables the data to be of higher quality than what was possible with traditional methods. Summing Up Data science itself is fairly new and advancing in recent years. Blockchain Technology, as advanced as it seems, is still at what is believed to be a very nascent stage. We have been seeing an increasing interest in data being moved to the cloud and it is only a matter of time when businesses will want it to be moved to decentralized networks. On the other hand, blockchain’s network and server requirements are still not addressed and data analytics can be very heavy on the network, considering the volume of data collected for analysis. With very small volumes of data stored in blocks, we need viable solutions to make sure data analysis in blockchain is possible at scale. At Pyramidion, we have been working with clients globally on some exciting blockchain projects. These projects are being led by visionaries, who are looking to change how the world functions, for good. Being at the forefront of innovation, where we see the best minds working on new technologies, ICOs and protocols, we strongly believe it is only a matter of time before the challenges are addressed and Blockchain starts being a great asset to another rapidly growing field like Data Science and Data Analytics.

Read More
BIG DATA MANAGEMENT

Maximize ROI with Marketing Analytics Technology

Article | July 12, 2022

Every business tries to improve their return on investment (ROI) every year by deploying different marketing strategies and technologies. Businesses are constantly adding new technologies to their content stack in order to enhance their efficiency and boost their revenue and growth. Data is inevitable in today's digital era, and Dan Zarrella correctly describes its role in marketing. He stated, "Marketing without data is like driving with your eyes closed." Indeed, the development of better marketing analytics tools and methodologies in recent years has provided business leaders with tremendous added decision-making power. Marketing analytics enables businesses to harness data points about their prospects and their journey through the selling process to enhance the effectiveness of their go-to-market efforts while optimizing ROI. The benefits can be experienced across teams and business segments. According to Hubspot, over 75% of marketers are reporting on how their campaigns are directly influencing revenue because of marketing analytics tools. So, let’s dive deeper and understand why marketing analytics matters. Why Does Marketing Analytics Matter? Marketing campaigns are just tossed into the world with little or no information about how your target audience responds to your marketing strategies. This happens in cases where business analytics tools are not used. Without employing marketing analytics, it can be said that a business is operating in the dark. Here are the reasons why marketing analytics matters. Quantifiable Actions Marketing analytics tools provide you with reliable matrices and insights into the varied marketing strategies that are implemented. Whenever numbers are presented, concrete data for the marketing effort is provided. For example, if you launched a content marketing campaign and have reliable data, it's easy to see that overall sales improved as a result of that marketing push. Campaign Analyses Only marketing analytics can provide a complete overview of how a marketing campaign or strategy actually performed. The data can be dug deeper to track individual messaging across a broad spectrum of outlets, making sure no approach is wasted. Plan for the Future Once you have an understanding of which marketing strategies are meeting expectations, you will be able to plan strategically for future marketing initiatives. Not only is this helpful for organizing marketing efforts, but it also makes it easier to allocate funds across boards. Maximize ROI with Marketing Analytics When marketers use marketing analytics tools, they can find patterns and signs that can be used to improve the performance of their company. This data can assist account managers to acquire new prospects, reallocate marketing expenditures to the most effective channels, and forecast future possibilities. Integration of marketing analytics software into the sales process can save time, boost revenue, and maximize ROI. Lead Prospecting Marketing analytics can enhance customer acquisition in multiple ways. Many marketers merely acquire data about website visitors and ad viewers via ad networks. They just receive basic demographic data, not tips about how to convert leads to sales. Marketing analytics tracks every prospect in your sales funnel or website in real-time. With a detailed picture of your potential customers, you can recognize qualified leads and target them with marketing. Using data insights, you can boost sales, get rid of bottlenecks, increase conversions, and find opportunities that were hidden in plain sight. Campaign Performance Monitoring Online advertising and marketing have the distinct advantage of allowing campaign managers to keep checks on ad performance in real-time. Businesses can use marketing ROI metrics like clicks, impressions, and conversions to figure out which ads work best. Real-time campaign monitoring is a valuable tool for today's marketers. Placements that are underperforming are paused or modified, while those with a great ROI could get extra ad revenue. These insights usually result in more efficient ad spending. Information from different media channels and data from online applications can be put together to learn about the prospect-to-customer journey. Demand Forecasting With suitable data at the right time, marketers gain more power. Tracking historical data is essential to identifying patterns and predicting demand. Seasonal patterns, for example, can have a significant impact on how well a campaign performs. Detailed research can indicate these factors and assist you in re-allocate or altering your marketing investment. Understanding the product or campaign performance helps to identify which items will be in high demand in the future quarter through the use of marketing analytics. Boost Sales Consumers are more knowledgeable than ever before. Reviews, social networks, blogs, etc., now influence most purchasing decisions. Marketing analytics provides valuable information. Focus on how marketing impacts sales to evaluate ROI. When to contact a potential customer, which product would have the most impact, and who is best suited to close the deal. Find sales-boosting marketing strategies. Marketing analytics can enhance revenue by: Understanding the decision-making process of a consumer. Tracking website user behavior and sales trends. Discussing your ROI strategy with the entire company, rather than just the sales or marketing teams. Summing Up For marketers, the use of marketing analytics technology is undoubtedly going to grow over time. You can boost your marketing ROI by using the best marketing analytics tools. Marketing ROI is mostly determined by how successful you are at developing and executing your company's marketing strategy. If you use the right marketing analytics, you can cut your marketing costs, make more people want your brand, and increase sales. FAQ What are the main components of marketing analytics? An effective marketing analytics strategy must have the following three capabilities: Scalability: Your approach must be able to grow and adapt to the changing requirements of the future. Sustainability: Having the appropriate team is essential to long-term sustainability. Affordability: Analytical is a sound investment, but the budget must be in sync with projected growth. What technology do most marketing analysts use? Marketing analysts can require various technologies related to: Statistical analysis software (e.g., R, SAS, SPSS, or STATA) SQL databases and database querying languages. What is digital marketing analytics? Customer behavior is translated into actionable company data through digital marketing analytics. Businesses can use digital analytics tools to learn more about what customers are doing online, why they're doing it, and how this behavior can be used in digital marketing campaigns.

Read More
BUSINESS INTELLIGENCE

Business Intelligence VS Predictive Analytics: Key Differentiators

Article | May 18, 2022

Predictive analytics and business intelligence have become some of the most important tools for businesses because of their outstanding capabilities. Most people believe that predictive analytics is a part of business intelligence (BI), but that is not the case. If we look at the definition of business intelligence, we can argue that predictive analytics actually falls under the umbrella of BI, but that's not entirely true. While that definition is pretty much correct for both terms, if we dig down a little deeper, we will see that there are significant differences between business intelligence and predictive analytics in both practices as well as theories. Let’s drill down to understand the key differentiators between predictive analytics and business intelligence. Key Differentiators: Predictive Analytics VS BI BI seeks to answer queries like "what happens now" and "what is happening now," whereas predictive analytics tries to predict "what will happen" and provides a more practical method to assess information. Data Raw data is processed into insights for direct consumer use during the business intelligence process. With predictive analytics, unstructured data is turned into structured data that can be used to make predictions about the future. Decision Users can make decisions based on insights provided by business intelligence. Businesses can use predictive analytics to make decisions based on facts, data sets, and predictions. Purpose The objective of business intelligence tools is to equip users with information about their company's historical data performance. Predictive analytics utilizes forecasting techniques to help in the solving of complex business challenges. Methods Business intelligence uses data visualization, data mining, reporting, dashboards, OLAP, etc., with previous performance indicators. Predictive analytics predicts future occurrences and analyzes raw data patterns. Technologies Ad-hoc reporting technology, alerting technology, and other technologies are covered in business intelligence. Predictive analytics includes technologies such as predictive modeling, forecasting, etc. Use Predictive Analytics in Business Intelligence to Optimize Marketing Efforts Businesses now have a plethora of information about their customers’ and target audience's purchasing patterns and preferences, all thanks to business intelligence insights. With all of this information, predictive analytics can determine the possibility of a consumer purchasing a product, allowing businesses to target their marketing efforts on customers who are more likely to purchase their items. Businesses that employ predictive analytics and business intelligence solutions can constantly remain one step ahead of their competition. Summing Up At times, the sheer variety of tools available can be intimidating, and misinformation can sometimes hamper the selection process of technology. Business intelligence and predictive analytics are two of the most productive technologies in the market, but when combined, they can do wonders for businesses.

Read More
BIG DATA MANAGEMENT

Can Blockchain Change The Game Of Data Analytics And Data Science?

Article | June 1, 2022

The next significant wave in data and analytics will empower businesses to achieve business value quicker, more effectively, and on a far wider scale. The integration of artificial intelligence and predictive analytics alters the way analytical material is produced, consumed, and shared. Yes, we are discussing augmented analytics. Augmented analytics assists in digging deeper into the "why" of the result and produces more accurate predictions. Augmented Analytics: A Valuable Tech for Businesses How Augmented Analytics Empowers Marketers in Making Better Decisions and Converting Prospects Marketing teams all across the globe are battling with frozen or declining budgets, yet they are still expected to generate pipelines and increase revenue. The great news is that, due to the advantages of augmented analytics, marketers no longer have to depend just on gut sense, previous experience, estimations, or trial and error. Instead, they can depend on data-driven marketing choices that are based on insights generated by augmented analytics. Augmented analytics uses AI and ML to discover key drivers and helps marketers understand why metrics change. Augmented analytics provides recommendations and actionable insights to marketers and helps them improve campaign outcomes. Augmented analytics reduces time-to-insight by automatically surfacing actionable insights on various customer data points to increase conversion and win. Augmented analytics minimize human work and turnaround time on insights, assisting marketers in recognizing areas of greatest potential and increasing ROI on marketing expenditures. According to Salesforce Research, the top reason marketers embraced AI in 2021 was to drive the next best actions. That is exactly what augmented analytics offers marketers: the ability to provide actionable insights to teams. Closing Notes Every day, the incredible rise of IoT devices generates massive amounts of data. The AI-powered analytical tools can extract the maximum value from the data.

Read More
BIG DATA MANAGEMENT

Data Integration Platform: Leveraging the Power of Data

Article | June 24, 2022

Blockchain has been causing ripples across major industries and verticals in the recent couple of years. We are seeing the future potential of blockchain technology that is scaling beyond just cryptocurrencies and trading. It is only natural that Blockchain is going to have a huge impact on Data Analytics, another field that has been booming and seems to continue in the same trajectory for the foreseeable future. However, very little research has been done on the implications of blockchain on Data Science or the potential of Data Science in Blockchain. While Blockchain is about validating data and data science is about predictions and patterns, they are linked together by the fact that they both use algorithms to control interactions between various data points. Blockchain in Big Data Analytics Big Data has traditionally been a very centralized method where we had to collate data from various sources and bring it together in one place. Blockchain, considering its decentralized nature can potentially allow analysis of data to happen at the origin nodes of individual sources. Also, considering that all data parsed through blockchain is validated across networks in a fool proof manner, the data integrity is ensured. This can be a game changer for analytics. With the digital age creating so many new data points and making data more accessible than ever, the need for diving into depth with advanced analytics has been realized by businesses around the world. However, the data is still not organized and it takes a very long time to bring them together to make sense of it. The other key challenge in Big Data remains data security. Centralized systems historically have been known for their vulnerability for leaks and hacks. A decentralized infrastructure can address both of the above challenges enabling data scientists to build a robust infrastructure to build a predictive data model and also giving rise to new possibilities for more real time analysis. Can Blockchain Enhance Data Science? Blockchain can address some of the key aspects of Data Science and Analytics. Data Security & Encoding: The smart contracts ensure that no transaction can be reversed or hidden. The complex mathematical algorithms that form the base of Blockchain are built to encrypt every single transaction on the ledger. Origin Tracing & Integrity: Blockchain technology is known for enabling P2P relationships. With blockchain technology, the ledgers can be transparent channels where the data flowing through it is validated and every stakeholder involved in the process is made accountable and accessible. This also enables the data to be of higher quality than what was possible with traditional methods. Summing Up Data science itself is fairly new and advancing in recent years. Blockchain Technology, as advanced as it seems, is still at what is believed to be a very nascent stage. We have been seeing an increasing interest in data being moved to the cloud and it is only a matter of time when businesses will want it to be moved to decentralized networks. On the other hand, blockchain’s network and server requirements are still not addressed and data analytics can be very heavy on the network, considering the volume of data collected for analysis. With very small volumes of data stored in blocks, we need viable solutions to make sure data analysis in blockchain is possible at scale. At Pyramidion, we have been working with clients globally on some exciting blockchain projects. These projects are being led by visionaries, who are looking to change how the world functions, for good. Being at the forefront of innovation, where we see the best minds working on new technologies, ICOs and protocols, we strongly believe it is only a matter of time before the challenges are addressed and Blockchain starts being a great asset to another rapidly growing field like Data Science and Data Analytics.

Read More
BIG DATA MANAGEMENT

Why Adaptive AI Can Overtake Traditional AI

Article | July 12, 2022

Every business tries to improve their return on investment (ROI) every year by deploying different marketing strategies and technologies. Businesses are constantly adding new technologies to their content stack in order to enhance their efficiency and boost their revenue and growth. Data is inevitable in today's digital era, and Dan Zarrella correctly describes its role in marketing. He stated, "Marketing without data is like driving with your eyes closed." Indeed, the development of better marketing analytics tools and methodologies in recent years has provided business leaders with tremendous added decision-making power. Marketing analytics enables businesses to harness data points about their prospects and their journey through the selling process to enhance the effectiveness of their go-to-market efforts while optimizing ROI. The benefits can be experienced across teams and business segments. According to Hubspot, over 75% of marketers are reporting on how their campaigns are directly influencing revenue because of marketing analytics tools. So, let’s dive deeper and understand why marketing analytics matters. Why Does Marketing Analytics Matter? Marketing campaigns are just tossed into the world with little or no information about how your target audience responds to your marketing strategies. This happens in cases where business analytics tools are not used. Without employing marketing analytics, it can be said that a business is operating in the dark. Here are the reasons why marketing analytics matters. Quantifiable Actions Marketing analytics tools provide you with reliable matrices and insights into the varied marketing strategies that are implemented. Whenever numbers are presented, concrete data for the marketing effort is provided. For example, if you launched a content marketing campaign and have reliable data, it's easy to see that overall sales improved as a result of that marketing push. Campaign Analyses Only marketing analytics can provide a complete overview of how a marketing campaign or strategy actually performed. The data can be dug deeper to track individual messaging across a broad spectrum of outlets, making sure no approach is wasted. Plan for the Future Once you have an understanding of which marketing strategies are meeting expectations, you will be able to plan strategically for future marketing initiatives. Not only is this helpful for organizing marketing efforts, but it also makes it easier to allocate funds across boards. Maximize ROI with Marketing Analytics When marketers use marketing analytics tools, they can find patterns and signs that can be used to improve the performance of their company. This data can assist account managers to acquire new prospects, reallocate marketing expenditures to the most effective channels, and forecast future possibilities. Integration of marketing analytics software into the sales process can save time, boost revenue, and maximize ROI. Lead Prospecting Marketing analytics can enhance customer acquisition in multiple ways. Many marketers merely acquire data about website visitors and ad viewers via ad networks. They just receive basic demographic data, not tips about how to convert leads to sales. Marketing analytics tracks every prospect in your sales funnel or website in real-time. With a detailed picture of your potential customers, you can recognize qualified leads and target them with marketing. Using data insights, you can boost sales, get rid of bottlenecks, increase conversions, and find opportunities that were hidden in plain sight. Campaign Performance Monitoring Online advertising and marketing have the distinct advantage of allowing campaign managers to keep checks on ad performance in real-time. Businesses can use marketing ROI metrics like clicks, impressions, and conversions to figure out which ads work best. Real-time campaign monitoring is a valuable tool for today's marketers. Placements that are underperforming are paused or modified, while those with a great ROI could get extra ad revenue. These insights usually result in more efficient ad spending. Information from different media channels and data from online applications can be put together to learn about the prospect-to-customer journey. Demand Forecasting With suitable data at the right time, marketers gain more power. Tracking historical data is essential to identifying patterns and predicting demand. Seasonal patterns, for example, can have a significant impact on how well a campaign performs. Detailed research can indicate these factors and assist you in re-allocate or altering your marketing investment. Understanding the product or campaign performance helps to identify which items will be in high demand in the future quarter through the use of marketing analytics. Boost Sales Consumers are more knowledgeable than ever before. Reviews, social networks, blogs, etc., now influence most purchasing decisions. Marketing analytics provides valuable information. Focus on how marketing impacts sales to evaluate ROI. When to contact a potential customer, which product would have the most impact, and who is best suited to close the deal. Find sales-boosting marketing strategies. Marketing analytics can enhance revenue by: Understanding the decision-making process of a consumer. Tracking website user behavior and sales trends. Discussing your ROI strategy with the entire company, rather than just the sales or marketing teams. Summing Up For marketers, the use of marketing analytics technology is undoubtedly going to grow over time. You can boost your marketing ROI by using the best marketing analytics tools. Marketing ROI is mostly determined by how successful you are at developing and executing your company's marketing strategy. If you use the right marketing analytics, you can cut your marketing costs, make more people want your brand, and increase sales. FAQ What are the main components of marketing analytics? An effective marketing analytics strategy must have the following three capabilities: Scalability: Your approach must be able to grow and adapt to the changing requirements of the future. Sustainability: Having the appropriate team is essential to long-term sustainability. Affordability: Analytical is a sound investment, but the budget must be in sync with projected growth. What technology do most marketing analysts use? Marketing analysts can require various technologies related to: Statistical analysis software (e.g., R, SAS, SPSS, or STATA) SQL databases and database querying languages. What is digital marketing analytics? Customer behavior is translated into actionable company data through digital marketing analytics. Businesses can use digital analytics tools to learn more about what customers are doing online, why they're doing it, and how this behavior can be used in digital marketing campaigns.

Read More
BUSINESS INTELLIGENCE

Business Intelligence VS Predictive Analytics: Key Differentiators

Article | May 18, 2022

Predictive analytics and business intelligence have become some of the most important tools for businesses because of their outstanding capabilities. Most people believe that predictive analytics is a part of business intelligence (BI), but that is not the case. If we look at the definition of business intelligence, we can argue that predictive analytics actually falls under the umbrella of BI, but that's not entirely true. While that definition is pretty much correct for both terms, if we dig down a little deeper, we will see that there are significant differences between business intelligence and predictive analytics in both practices as well as theories. Let’s drill down to understand the key differentiators between predictive analytics and business intelligence. Key Differentiators: Predictive Analytics VS BI BI seeks to answer queries like "what happens now" and "what is happening now," whereas predictive analytics tries to predict "what will happen" and provides a more practical method to assess information. Data Raw data is processed into insights for direct consumer use during the business intelligence process. With predictive analytics, unstructured data is turned into structured data that can be used to make predictions about the future. Decision Users can make decisions based on insights provided by business intelligence. Businesses can use predictive analytics to make decisions based on facts, data sets, and predictions. Purpose The objective of business intelligence tools is to equip users with information about their company's historical data performance. Predictive analytics utilizes forecasting techniques to help in the solving of complex business challenges. Methods Business intelligence uses data visualization, data mining, reporting, dashboards, OLAP, etc., with previous performance indicators. Predictive analytics predicts future occurrences and analyzes raw data patterns. Technologies Ad-hoc reporting technology, alerting technology, and other technologies are covered in business intelligence. Predictive analytics includes technologies such as predictive modeling, forecasting, etc. Use Predictive Analytics in Business Intelligence to Optimize Marketing Efforts Businesses now have a plethora of information about their customers’ and target audience's purchasing patterns and preferences, all thanks to business intelligence insights. With all of this information, predictive analytics can determine the possibility of a consumer purchasing a product, allowing businesses to target their marketing efforts on customers who are more likely to purchase their items. Businesses that employ predictive analytics and business intelligence solutions can constantly remain one step ahead of their competition. Summing Up At times, the sheer variety of tools available can be intimidating, and misinformation can sometimes hamper the selection process of technology. Business intelligence and predictive analytics are two of the most productive technologies in the market, but when combined, they can do wonders for businesses.

Read More
MORE ARTICLES

Spotlight

TWINN iNTELLIGENCE GROUP

Twinn Intelligence Group is a veteran-owned small business founded on Prior Military SIGINT and government industry experience, providing focused business and technology consulting across the intelligence and defense communities since 2004. We were established based on operational intelligence solutions and technologies to meet national security objectives.

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DATA VISUALIZATION

insightsoftware Expands Embedded Analytics Offering with Acquisition of Dundas

insightsoftware | August 12, 2022

insightsoftware, a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Dundas Data Visualization, Inc., a Toronto-based business intelligence (BI), analytics, and data visualization platform. This deal accelerates innovation for the growing Logi suite of embedded analytics solutions at insightsoftware. The Dundas solution is a flexible, end-to-end BI platform that offers software providers the ability to customize dashboards, reports, and visualizations. It was designed to operate as a one stop shop for self-service analytics, with integration into multiple data sources. Built with open architecture, Dundas BI makes it easy for software vendors to build, extend, and embed white-label data analytics solutions. insightsoftware plans to leverage the Dundas platform to enhance its existing Logi solutions, notably adding a strong extract, transform, and load (ETL) engine and pixel perfect reporting. “In this day and age, there is no need for software vendors, or companies building internal applications, to lose focus by developing proprietary analytics tools. Starting with our acquisition of Logi Analytics last year, we have been strategically focused on expanding our embedded analytics offerings. We see a bright future for this segment of our business and even use these solutions in our own product development. “The acquisition of Dundas strengthens our embedded analytics capabilities, making it even easier for software development teams to plug prebuilt reporting and analytics into their software.” Jim Triandiflou, CEO of insightsoftware “As the demand for more immediate, flexible, and robust operational reporting increases and falls on finance teams, we see the value of combining powerful embedded analytics with products that support the Office of the CFO,” said Troy Marchand, CEO of Dundas. “insightsoftware shares our mission to solve real business problems. The acquisition immediately benefits our team in providing broader global resources and unparalleled career opportunity. For our customers, we’ll be able to deliver a stronger product that addresses a wider set of use cases. I’m excited to see our business integrated into the insightsoftware family.” About insightsoftware insightsoftware is a leading provider of reporting, analytics, and performance management solutions. Over 30,000 organizations worldwide rely on us to support business needs in the areas of accounting, finance, operations, supply chain, tax, budgeting, planning, HR, and disclosure management. We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization. Our best-in-class solutions provide customers with increased productivity, visibility, accuracy, and compliance. About Dundas Data Visualization Dundas Data Visualization is a leading, global provider of Business Intelligence (BI), Analytics and Data Visualization solutions. Dundas provides organizations with the most customizable, innovative, and scalable BI, dashboard, and reporting software, through a fully embeddable BI platform, enabling users access to all their data for better decisions and faster insights.

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BIG DATA MANAGEMENT

Verint Cloud Platform Powers Compliance Recording and Engagement Data Analysis for Zoom Users

Verint | August 10, 2022

Verint® , The Customer Engagement Company™, launched a new native integration as part of the Verint Cloud Platform for Zoom Meetings and Zoom Phone interactions with Verint Engagement Data Management (EDM) ‒ a unique, open solution to help build a multi-source data hub for customer interaction and experience data that is recorded or captured from any system, channel or communication mode. For the fast-growing community of businesses relying on Zoom Phone and Zoom Meetings for their unified communications, this new integration will provide a quick and straightforward way of consolidating recorded Zoom interactions with customer interaction and feedback data from other sources. Verint EDM will store and harmonize this data alongside interaction and experience data from other corporate systems, increasing the efficiency and decreasing the expense of separately transforming and combining from diverse data silos. Verint EDM also gives organizations additional depth and enrichment to understand customer engagement and generates intelligence to manage compliance and more effectively improve business operations. Ventana Research analysts agree that organizations face challenges making their interaction data useful. According to a recent research note, The Science of Managing Interaction Data, older models have been focused on contact center voice interactions, while today many interactions also incorporate digital channels. While contact centers provide a partial view of customer relationships, a data hub collects context surrounding interactions and customer experience that helps make them more actionable. The report goes on to state that interaction data has the potential to bridge the gap between demand and resources. “Verint’s native EDM integration with the Zoom platform means that Verint customers can instantly include recorded data into their analysis of customer engagements. “All of that data ultimately contributes to an organization’s approach to total quality by creating a more comprehensive understanding of customer interactions across all engagement channels in order to make more effective business decisions and ensure compliance.” Verint’s David Singer, vice president, go-to-market strategy About Verint Verint® helps the world’s most iconic brands – including over 85 of the Fortune 100 companies – build enduring customer relationships by connecting work, data and experiences across the enterprise. The Verint Customer Engagement portfolio draws on the latest advancements in AI and analytics, an open cloud architecture, and The Science of Customer Engagement™ to help customers close The Engagement Capacity Gap™.

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BIG DATA MANAGEMENT

Sesame Software Announces New Data Connector for HubSpot, Empowering Users to Simplify Data Access and Accelerate Insights

Sesame Software | August 12, 2022

Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced the addition of a new data source connector for HubSpot. With Relational Junction for HubSpot, you can easily connect HubSpot with cloud applications and relational databases to the data warehouse of your choice. This connector empowers data teams to improve data quality, eliminate silos, and uncover new insights to support data-driven decision-making. HubSpot is a leading platform for inbound marketing, sales, and customer relationship management. With HubSpot, you can get exhaustive data on your marketing efforts and Relational Junction helps you take control of that data. Relational Junction is a no-code data integration and replication platform able to easily connect HubSpot and a wide variety of other data sources to your various data destinations. Thanks to its scalable architecture and automation, you can easily grow your data without the need for labor-intensive processes, including manual data entry, data mapping, and maintenance. As a result, you have the data you need, continuously updated and all in one place, allowing for you to provide better customer experiences with more targeted and informed campaigns. Connect Your HubSpot Data with Your Data Warehouse and Business Intelligence Tool Relational Junction supports delivery to a wide range of cloud data storage and on-prem data warehouses, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, and more. In a matter of minutes, you can connect your Hubspot marketing and sales data with other data sources. Send your Hubspot data to feed your BI, your data warehouse, or your custom analytics stack and see a full view of your leads, analytics, sales, and customer service information. Relational Junctions Key Benefits: Easily access, discover, and connect HubSpot data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications Replicate HubSpot data into your data warehouse quickly and with no coding necessary Move data at the fastest possible speed with hyper-threaded high-volume data connectors Keep data fresh with automated data syncs for timely insights and accurate reporting About Sesame Software Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

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DATA VISUALIZATION

insightsoftware Expands Embedded Analytics Offering with Acquisition of Dundas

insightsoftware | August 12, 2022

insightsoftware, a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Dundas Data Visualization, Inc., a Toronto-based business intelligence (BI), analytics, and data visualization platform. This deal accelerates innovation for the growing Logi suite of embedded analytics solutions at insightsoftware. The Dundas solution is a flexible, end-to-end BI platform that offers software providers the ability to customize dashboards, reports, and visualizations. It was designed to operate as a one stop shop for self-service analytics, with integration into multiple data sources. Built with open architecture, Dundas BI makes it easy for software vendors to build, extend, and embed white-label data analytics solutions. insightsoftware plans to leverage the Dundas platform to enhance its existing Logi solutions, notably adding a strong extract, transform, and load (ETL) engine and pixel perfect reporting. “In this day and age, there is no need for software vendors, or companies building internal applications, to lose focus by developing proprietary analytics tools. Starting with our acquisition of Logi Analytics last year, we have been strategically focused on expanding our embedded analytics offerings. We see a bright future for this segment of our business and even use these solutions in our own product development. “The acquisition of Dundas strengthens our embedded analytics capabilities, making it even easier for software development teams to plug prebuilt reporting and analytics into their software.” Jim Triandiflou, CEO of insightsoftware “As the demand for more immediate, flexible, and robust operational reporting increases and falls on finance teams, we see the value of combining powerful embedded analytics with products that support the Office of the CFO,” said Troy Marchand, CEO of Dundas. “insightsoftware shares our mission to solve real business problems. The acquisition immediately benefits our team in providing broader global resources and unparalleled career opportunity. For our customers, we’ll be able to deliver a stronger product that addresses a wider set of use cases. I’m excited to see our business integrated into the insightsoftware family.” About insightsoftware insightsoftware is a leading provider of reporting, analytics, and performance management solutions. Over 30,000 organizations worldwide rely on us to support business needs in the areas of accounting, finance, operations, supply chain, tax, budgeting, planning, HR, and disclosure management. We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization. Our best-in-class solutions provide customers with increased productivity, visibility, accuracy, and compliance. About Dundas Data Visualization Dundas Data Visualization is a leading, global provider of Business Intelligence (BI), Analytics and Data Visualization solutions. Dundas provides organizations with the most customizable, innovative, and scalable BI, dashboard, and reporting software, through a fully embeddable BI platform, enabling users access to all their data for better decisions and faster insights.

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BIG DATA MANAGEMENT

Verint Cloud Platform Powers Compliance Recording and Engagement Data Analysis for Zoom Users

Verint | August 10, 2022

Verint® , The Customer Engagement Company™, launched a new native integration as part of the Verint Cloud Platform for Zoom Meetings and Zoom Phone interactions with Verint Engagement Data Management (EDM) ‒ a unique, open solution to help build a multi-source data hub for customer interaction and experience data that is recorded or captured from any system, channel or communication mode. For the fast-growing community of businesses relying on Zoom Phone and Zoom Meetings for their unified communications, this new integration will provide a quick and straightforward way of consolidating recorded Zoom interactions with customer interaction and feedback data from other sources. Verint EDM will store and harmonize this data alongside interaction and experience data from other corporate systems, increasing the efficiency and decreasing the expense of separately transforming and combining from diverse data silos. Verint EDM also gives organizations additional depth and enrichment to understand customer engagement and generates intelligence to manage compliance and more effectively improve business operations. Ventana Research analysts agree that organizations face challenges making their interaction data useful. According to a recent research note, The Science of Managing Interaction Data, older models have been focused on contact center voice interactions, while today many interactions also incorporate digital channels. While contact centers provide a partial view of customer relationships, a data hub collects context surrounding interactions and customer experience that helps make them more actionable. The report goes on to state that interaction data has the potential to bridge the gap between demand and resources. “Verint’s native EDM integration with the Zoom platform means that Verint customers can instantly include recorded data into their analysis of customer engagements. “All of that data ultimately contributes to an organization’s approach to total quality by creating a more comprehensive understanding of customer interactions across all engagement channels in order to make more effective business decisions and ensure compliance.” Verint’s David Singer, vice president, go-to-market strategy About Verint Verint® helps the world’s most iconic brands – including over 85 of the Fortune 100 companies – build enduring customer relationships by connecting work, data and experiences across the enterprise. The Verint Customer Engagement portfolio draws on the latest advancements in AI and analytics, an open cloud architecture, and The Science of Customer Engagement™ to help customers close The Engagement Capacity Gap™.

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BIG DATA MANAGEMENT

Sesame Software Announces New Data Connector for HubSpot, Empowering Users to Simplify Data Access and Accelerate Insights

Sesame Software | August 12, 2022

Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced the addition of a new data source connector for HubSpot. With Relational Junction for HubSpot, you can easily connect HubSpot with cloud applications and relational databases to the data warehouse of your choice. This connector empowers data teams to improve data quality, eliminate silos, and uncover new insights to support data-driven decision-making. HubSpot is a leading platform for inbound marketing, sales, and customer relationship management. With HubSpot, you can get exhaustive data on your marketing efforts and Relational Junction helps you take control of that data. Relational Junction is a no-code data integration and replication platform able to easily connect HubSpot and a wide variety of other data sources to your various data destinations. Thanks to its scalable architecture and automation, you can easily grow your data without the need for labor-intensive processes, including manual data entry, data mapping, and maintenance. As a result, you have the data you need, continuously updated and all in one place, allowing for you to provide better customer experiences with more targeted and informed campaigns. Connect Your HubSpot Data with Your Data Warehouse and Business Intelligence Tool Relational Junction supports delivery to a wide range of cloud data storage and on-prem data warehouses, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, and more. In a matter of minutes, you can connect your Hubspot marketing and sales data with other data sources. Send your Hubspot data to feed your BI, your data warehouse, or your custom analytics stack and see a full view of your leads, analytics, sales, and customer service information. Relational Junctions Key Benefits: Easily access, discover, and connect HubSpot data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications Replicate HubSpot data into your data warehouse quickly and with no coding necessary Move data at the fastest possible speed with hyper-threaded high-volume data connectors Keep data fresh with automated data syncs for timely insights and accurate reporting About Sesame Software Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

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