Seven must-haves for business intelligence success

MARILYN DE VILLIERS | May 23, 2019 | 94 views

This is according to Karl Dinkelmann, director of data enablement, business intelligence (BI) and analytics at AccTech Systems, who told delegates at ITWeb Business Intelligence and Analytics Summit 2019 this week that all indications point to the fact that any company embarking on an analytics project has an 8.5 out of 10 chance of failing.

Spotlight

Clear Decisions

Clear Decisions is a company with more than ten years of experience in the Business Intelligence Market, dedicated to develop and implement solutions oriented to help companies make decisions, reducing costs and time. Clear Decisions delivers technology consulting solutions through the Business Intelligence life cycle, starting with the source systems data consumption, continuing with the transformation of that data and finalizing with the presentation to the different company levels. Also, Clear Decisions offers data analysis solutions, whether it’s for historical or predictive models. This is done through the creation of database models capable of handling huge volumes of information and supporting statistic algorithms that determine correlation patterns. All this is known as the Data Mining and Predictive Analysis practice…

OTHER ARTICLES
BUSINESS INTELLIGENCE

Augmented Analytics: The Next-Big Thing in Data Analytics

Article | August 4, 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 | July 12, 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 15, 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

Spotlight

Clear Decisions

Clear Decisions is a company with more than ten years of experience in the Business Intelligence Market, dedicated to develop and implement solutions oriented to help companies make decisions, reducing costs and time. Clear Decisions delivers technology consulting solutions through the Business Intelligence life cycle, starting with the source systems data consumption, continuing with the transformation of that data and finalizing with the presentation to the different company levels. Also, Clear Decisions offers data analysis solutions, whether it’s for historical or predictive models. This is done through the creation of database models capable of handling huge volumes of information and supporting statistic algorithms that determine correlation patterns. All this is known as the Data Mining and Predictive Analysis practice…

Related News

BIG DATA MANAGEMENT

BangDB launches fastest streaming AI & Graph Data Platform

BangDB | April 19, 2022

BangDB, a big data business, has created a first-of-its-kind convergent database platform (Ampere) on the cloud. BangDB is one of the world's fastest databases, making it ideal for current applications that demand predictive real-time analysis of fast-moving data from devices, sensors, and machines. BangDB has designed a modern stack to revolutionize the data analysis industry by combining AI, Stream Processing, Graph, and the database in a single solution. "A major shift is underway in the way data is being generated and consumed. A lot more data is coming from devices than ever before. Most of the existing tools, platforms in the market were created a decade ago and hence we find it difficult to deal with newer kind of data and the use cases emerging from it. With BangDB as SaaS on cloud, Ampere becomes the first off-the-shelf platform of its kind, which cuts down the time and cost to build modern applications drastically." Sachin Sinha, Founder and CEO of BangDB BangDB is intended for developing use cases involving real-time Edge and Cloud computing in fields such as IoT, FinTech, log analysis, supply chain, and so on. BangDB analyzes a wide range of data to find patterns, anomalies, and other interesting occurrences in order to provide continuous operational intelligence in a fully automated way. Users may now construct apps in a very short period of time without writing a single line of code, thanks to the Cloud release. BangDB will launch an AppStore in the next weeks, where pre-built apps for different domains will be available, and developers will be able to build, publish, and sell their applications via the AppStore as well. Sinha established BangDB in 2015 as part of IQLECT and is situated in Bangalore. It is a convergent database platform based on Artificial Intelligence (AI) that corresponds with current and future data trends in the industry. BangDB was built from the ground up and now has over a dozen patents in the data processing field. It has over 100K users worldwide and numerous prominent organizations as customers. BangDB is supported by Exfinity and VentureEast, as well as famous angels Lip-Bu Tan, Michael Marks, Nicholas B, and Pradeep Khosla.

Read More

BIG DATA MANAGEMENT

Nokia Announces New SaaS Services for CSPs & Enterprises

Nokia | February 22, 2022

As advanced 5G services are rolled out, Nokia announced two new SaaS (Software-as-a-Service) services in the areas of analytics and security as part of its strategy to give communication service providers (CSPs) and corporates a far more flexible and cost-effective method of servicing their customers, operating, and monetizing their networks. The new services follow Nokia's recent entry into the SaaS space, which aims to help CSPs and enterprises boost the time to value they derive from their services offerings by moving to an agile model based on software consumed purely on demand through a subscription, rather than customized software running on expensive, complex on premise infrastructure. With AI/ML-driven closed-loop automation, Nokia AVA NWDAF improves network operations, improves customer experience (CX), and generates new income streams. AVA NWDAF enables CSPs to deliver analytics at the network edge, implement 3GPP-defined analytics services, and form collaborations with software developers thanks to its distributed design and open APIs. Embedded SIM (eSIM) and integrated SIM (iSIM) technologies, unlike traditional SIMs, can store and manage numerous subscriber profiles remotely for authenticating users and devices on mobile networks. iSIM Secure Connect provides you complete control over the eSIM/iSIM management process, as well as the ability to monetize services based on verified digital identities. Nokia's iSIM Secure Connect allows CSPs and corporations to securely manage machine-to-machine and consumer device subscriptions for eSIM- and iSIM-enabled devices through a SaaS delivery architecture. Nokia is enhancing its AVA offering with additional SaaS functionalities based on NWDAF (Network Data Analytics Function), which is part of the 5G Standalone architecture since the complexity of 5G networks has raised the requirement for sophisticated analytics. Later this quarter, AVA NWDAF will be commercially accessible via a SaaS delivery model. iSIM Secure Connect by Nokia has planned to be accessible as a SaaS later this year, although users will be able to utilize it in other ways. Nokia's NetGuard Cybersecurity Dome and Nokia Anomaly Detection, both announced in November 2021 as SaaS solutions, will be available later this quarter. NetGuard Cybersecurity Dome allows CSPs to ensure 5G networks and monetize security through services such as 5G slicing, whereas Nokia Anomaly Detection is a machine learning service that finds and fixes network abnormalities before they harm users. Later this year and through 2023, Nokia expects to launch further SaaS services in the areas of core, digital operations, monetization, and private wireless. Nokia strives to serve critical features through open-source application programming interfaces (APIs) that are operable across numerous hyper scale platforms as its SaaS product roadmap progresses. This will result in a multi-vendor SaaS delivery architecture that leverages Nokia's relationships with key cloud providers as well as its continuous investments in cloud-native software and other technologies. “To fully tap the wealth of opportunities that advanced 5G services offer, communication service providers and enterprises need new deployment models that enable faster service delivery to customers in a smarter, more cost-effective manner. Solution suppliers such as Nokia with its new Software-as-a-Service (SaaS) security and analytics services, are turning to SaaS as a means for helping the telecom space modernize and monetize investments faster.” Karl Whitelock, V.P. Research, Communications Service Provider Operations & Monetization at IDC Raghav Sahgal, President of Cloud and Network Services at Nokia stated, “Adopting Nokia AVA NWDAF and iSIM Secure Connect through the SaaS model will greatly improve the time-to-value that CSPs and enterprises can realize by having on-demand access to services. These latest Nokia SaaS services strengthen our leadership position in helping our customers change the very foundation of how our industry does business.”

Read More

DATA ARCHITECTURE

Snowflake-powered OneBill now offers descriptive and predictive data analytics

OneBill | February 02, 2022

According to Gartner, by 2023, more than 33% of big firms will employ analysts practicing decision intelligence (including decision modeling). As a result, businesses will become increasingly reliant on aggregating data from across the organization to inform descriptive and predictive analytics. OneBill, a provider of end-to-end billing and revenue management software, has seen this rising opportunity to build intelligent analytics using OneBill's diverse data sources and Snowflake Data Marketplace's rich data. Every month, OneBill processes millions of data inputs spanning product inventories, usage (e.g. minutes, data, volume, etc. ), price values, taxation, and much more to generate an invoice. As a result, OneBill saw an opportunity to investigate how this massive amount of data could be transformed into helpful analytics, allowing their clients to do predictive data analytics that impacts future revenue strategy decisions. Data from the OneBill platform will be fed into Snowflake and transformed into dashboard reporting tools that can be customized for a firm thanks to the interface created between the two platforms. Customers can also compare and reconcile their billing data with their accounting reports, as Snowflake can provide data from other corporate systems such as Accounting and Taxation platforms. "We are excited by this partnership, as we see Snowflake as a strong partner to build this modernized, scalable, and adoptive platform, based on their unique set of product portfolio elements. Furthermore, their high level of computing, storage, and security capabilities is second to none, making them a partner we can truly trust in this venture," OneBill Software Founder & CEO, JK Chelladurai "We are encouraged by OneBill's latest capabilities, Powered by Snowflake, which can be transformative for many businesses as they pursue innovation with these advanced revenue reporting tools," said Colleen Kapase, SVP of Worldwide Partners and Alliances. "As Snowflake continues to make strides to mobilize the world's data, partners like OneBIll give our customers greater flexibility around how they make key revenue management decisions."

Read More

BIG DATA MANAGEMENT

BangDB launches fastest streaming AI & Graph Data Platform

BangDB | April 19, 2022

BangDB, a big data business, has created a first-of-its-kind convergent database platform (Ampere) on the cloud. BangDB is one of the world's fastest databases, making it ideal for current applications that demand predictive real-time analysis of fast-moving data from devices, sensors, and machines. BangDB has designed a modern stack to revolutionize the data analysis industry by combining AI, Stream Processing, Graph, and the database in a single solution. "A major shift is underway in the way data is being generated and consumed. A lot more data is coming from devices than ever before. Most of the existing tools, platforms in the market were created a decade ago and hence we find it difficult to deal with newer kind of data and the use cases emerging from it. With BangDB as SaaS on cloud, Ampere becomes the first off-the-shelf platform of its kind, which cuts down the time and cost to build modern applications drastically." Sachin Sinha, Founder and CEO of BangDB BangDB is intended for developing use cases involving real-time Edge and Cloud computing in fields such as IoT, FinTech, log analysis, supply chain, and so on. BangDB analyzes a wide range of data to find patterns, anomalies, and other interesting occurrences in order to provide continuous operational intelligence in a fully automated way. Users may now construct apps in a very short period of time without writing a single line of code, thanks to the Cloud release. BangDB will launch an AppStore in the next weeks, where pre-built apps for different domains will be available, and developers will be able to build, publish, and sell their applications via the AppStore as well. Sinha established BangDB in 2015 as part of IQLECT and is situated in Bangalore. It is a convergent database platform based on Artificial Intelligence (AI) that corresponds with current and future data trends in the industry. BangDB was built from the ground up and now has over a dozen patents in the data processing field. It has over 100K users worldwide and numerous prominent organizations as customers. BangDB is supported by Exfinity and VentureEast, as well as famous angels Lip-Bu Tan, Michael Marks, Nicholas B, and Pradeep Khosla.

Read More

BIG DATA MANAGEMENT

Nokia Announces New SaaS Services for CSPs & Enterprises

Nokia | February 22, 2022

As advanced 5G services are rolled out, Nokia announced two new SaaS (Software-as-a-Service) services in the areas of analytics and security as part of its strategy to give communication service providers (CSPs) and corporates a far more flexible and cost-effective method of servicing their customers, operating, and monetizing their networks. The new services follow Nokia's recent entry into the SaaS space, which aims to help CSPs and enterprises boost the time to value they derive from their services offerings by moving to an agile model based on software consumed purely on demand through a subscription, rather than customized software running on expensive, complex on premise infrastructure. With AI/ML-driven closed-loop automation, Nokia AVA NWDAF improves network operations, improves customer experience (CX), and generates new income streams. AVA NWDAF enables CSPs to deliver analytics at the network edge, implement 3GPP-defined analytics services, and form collaborations with software developers thanks to its distributed design and open APIs. Embedded SIM (eSIM) and integrated SIM (iSIM) technologies, unlike traditional SIMs, can store and manage numerous subscriber profiles remotely for authenticating users and devices on mobile networks. iSIM Secure Connect provides you complete control over the eSIM/iSIM management process, as well as the ability to monetize services based on verified digital identities. Nokia's iSIM Secure Connect allows CSPs and corporations to securely manage machine-to-machine and consumer device subscriptions for eSIM- and iSIM-enabled devices through a SaaS delivery architecture. Nokia is enhancing its AVA offering with additional SaaS functionalities based on NWDAF (Network Data Analytics Function), which is part of the 5G Standalone architecture since the complexity of 5G networks has raised the requirement for sophisticated analytics. Later this quarter, AVA NWDAF will be commercially accessible via a SaaS delivery model. iSIM Secure Connect by Nokia has planned to be accessible as a SaaS later this year, although users will be able to utilize it in other ways. Nokia's NetGuard Cybersecurity Dome and Nokia Anomaly Detection, both announced in November 2021 as SaaS solutions, will be available later this quarter. NetGuard Cybersecurity Dome allows CSPs to ensure 5G networks and monetize security through services such as 5G slicing, whereas Nokia Anomaly Detection is a machine learning service that finds and fixes network abnormalities before they harm users. Later this year and through 2023, Nokia expects to launch further SaaS services in the areas of core, digital operations, monetization, and private wireless. Nokia strives to serve critical features through open-source application programming interfaces (APIs) that are operable across numerous hyper scale platforms as its SaaS product roadmap progresses. This will result in a multi-vendor SaaS delivery architecture that leverages Nokia's relationships with key cloud providers as well as its continuous investments in cloud-native software and other technologies. “To fully tap the wealth of opportunities that advanced 5G services offer, communication service providers and enterprises need new deployment models that enable faster service delivery to customers in a smarter, more cost-effective manner. Solution suppliers such as Nokia with its new Software-as-a-Service (SaaS) security and analytics services, are turning to SaaS as a means for helping the telecom space modernize and monetize investments faster.” Karl Whitelock, V.P. Research, Communications Service Provider Operations & Monetization at IDC Raghav Sahgal, President of Cloud and Network Services at Nokia stated, “Adopting Nokia AVA NWDAF and iSIM Secure Connect through the SaaS model will greatly improve the time-to-value that CSPs and enterprises can realize by having on-demand access to services. These latest Nokia SaaS services strengthen our leadership position in helping our customers change the very foundation of how our industry does business.”

Read More

DATA ARCHITECTURE

Snowflake-powered OneBill now offers descriptive and predictive data analytics

OneBill | February 02, 2022

According to Gartner, by 2023, more than 33% of big firms will employ analysts practicing decision intelligence (including decision modeling). As a result, businesses will become increasingly reliant on aggregating data from across the organization to inform descriptive and predictive analytics. OneBill, a provider of end-to-end billing and revenue management software, has seen this rising opportunity to build intelligent analytics using OneBill's diverse data sources and Snowflake Data Marketplace's rich data. Every month, OneBill processes millions of data inputs spanning product inventories, usage (e.g. minutes, data, volume, etc. ), price values, taxation, and much more to generate an invoice. As a result, OneBill saw an opportunity to investigate how this massive amount of data could be transformed into helpful analytics, allowing their clients to do predictive data analytics that impacts future revenue strategy decisions. Data from the OneBill platform will be fed into Snowflake and transformed into dashboard reporting tools that can be customized for a firm thanks to the interface created between the two platforms. Customers can also compare and reconcile their billing data with their accounting reports, as Snowflake can provide data from other corporate systems such as Accounting and Taxation platforms. "We are excited by this partnership, as we see Snowflake as a strong partner to build this modernized, scalable, and adoptive platform, based on their unique set of product portfolio elements. Furthermore, their high level of computing, storage, and security capabilities is second to none, making them a partner we can truly trust in this venture," OneBill Software Founder & CEO, JK Chelladurai "We are encouraged by OneBill's latest capabilities, Powered by Snowflake, which can be transformative for many businesses as they pursue innovation with these advanced revenue reporting tools," said Colleen Kapase, SVP of Worldwide Partners and Alliances. "As Snowflake continues to make strides to mobilize the world's data, partners like OneBIll give our customers greater flexibility around how they make key revenue management decisions."

Read More

Events