Incorporate Predictive analytics into your applications

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Add New Predictive Power to Your Customer Applications. Leverage Real-Time, Next-Generation Analytics From SAP to Evolve and Differentiate Your Solutions

Spotlight

Avarea Oy

We work for better and faster analytics. This empowers our customers to make faster business decisions in a revolutionary and rapidly changing world. We talk about data warehousing, big data, and many other of our core competencies like data-driven profitability solutions and customer analytics. But, these are just terms and words to get closer to the main point; how would any enterprise benefit from data analytics. And then again, simply do better and more profitable business. Decision by decision. We are always aware. And we stay up-to-date. Despite our deep technical expertise, we are committed to understanding many different kinds of business environments. Understanding does not mean there has to be an army of persons for analytics; for us it means having an insightful attitude together with the exceptional expertise of our professionals…

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BUSINESS STRATEGY

Augmented Analytics: The Next-Big Thing in Data Analytics

Article | July 22, 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.

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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.

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BUSINESS INTELLIGENCE

Maximize ROI with Marketing Analytics Technology

Article | August 4, 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.

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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.

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Spotlight

Avarea Oy

We work for better and faster analytics. This empowers our customers to make faster business decisions in a revolutionary and rapidly changing world. We talk about data warehousing, big data, and many other of our core competencies like data-driven profitability solutions and customer analytics. But, these are just terms and words to get closer to the main point; how would any enterprise benefit from data analytics. And then again, simply do better and more profitable business. Decision by decision. We are always aware. And we stay up-to-date. Despite our deep technical expertise, we are committed to understanding many different kinds of business environments. Understanding does not mean there has to be an army of persons for analytics; for us it means having an insightful attitude together with the exceptional expertise of our professionals…

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BIG DATA MANAGEMENT

J.D. Power Acquires We Predict Data and Predictive Analytics Business

J.D. Power | June 06, 2022

J.D. Power, a global leader in data analytics and customer intelligence, today announced that it has acquired the data and predictive analytics business of We Predict, the UK-based provider of global automobile service and warranty analytics. We Predict’s software, which is used by auto manufacturers and suppliers to project future component failures and future warranty claims and costs, will be leveraged by J.D. Power to enhance its vehicle quality and dependability analytics, expand repair cost forecasting and provide critical valuation data. “Robust data and powerful analytics that help manufacturers, suppliers and consumers better predict future repair costs are a key link in the auto industry value chain that will only become more important as fleets of new electric vehicles start rolling off the assembly line,” said Dave Habiger, president and CEO of J.D. Power. “By augmenting our existing offerings with We Predict’s forecasting software, we will be able to deliver a more complete, detailed view of repair-related costs to better anticipate financial risk exposures.” “As the automobile industry enters a phase of massive transformation in which electric vehicles and ever-more complex technologies are rapidly becoming the norm, warranty claims and repair costs are a critical variable for manufacturers and suppliers to incorporate into their forecasting. “By incorporating We Predict’s comprehensive data and powerful analytics into our vehicle quality, dependability and valuation platforms, we will be able to create the industry’s most robust and accurate view of future warranty claims and repair costs.” Doug Betts, president of the global automotive division at J.D. Power We Predict software uses machine learning and predictive analytics to develop detailed projections of future warranty claims and repair costs for the global automobile industry. Drawing on a database of billions of service records, We Predict can accurately forecast true vehicle ownership costs, residual values, repair and warranty claims costs and more. “J.D. Power invented the idea of using data and analytics to evaluate vehicle quality and dependability, so the opportunity to become a part of that team and bring our software and operational data into the offering is enormously exciting to all of us at We Predict,” said James Davies, We Predict CEO. “The industry and consumers need accurate repair cost forecasting now more than ever and we look forward to being the leader in delivering those solutions.” Davies will become vice president of repair analytics and data at J.D. Power. We Predict will become part of the global automotive division at J.D. Power. About J.D. Power J.D. Power is a global leader in consumer insights, advisory services and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power has been delivering incisive industry intelligence on customer interactions with brands and products for more than 50 years. The world's leading businesses across major industries rely on J.D. Power to guide their customer-facing strategies. About We Predict Formed in 2009, We Predict uses machine learning and unique predictive methodologies to assist global blue-chip customers in anticipating and accelerating decisions on product, on market, as well as on financial performance. Our top-notch data scientists, mathematicians, computer scientists and industry experts work together with our clients to explore and gain new insights into where your business is headed, creating the opportunity to course-correct with confidence. Using our service, clients gain insights into huge amounts of data at the touch of a button so they can take action—fast. Some guess, we know.

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BIG DATA MANAGEMENT

Huron to Acquire Healthcare Predictive Analytics Company Perception Health

Huron | December 23, 2021

Global professional services firm Huron today announced it has entered into an agreement to acquire Perception Health Inc., a healthcare predictive analytics company focused on bringing data sources together to illuminate opportunities for improved clinical and business decision-making. Huron’s deep healthcare expertise, technology and analytics capabilities combined with Perception Health’s analytics, predictive models and data platform will strengthen the firm’s ability to help providers uncover patterns of care to lower costs, improve patient outcomes and deliver a better healthcare experience. “The healthcare industry is under immense pressure to deliver high-quality, individualized care. This acquisition allows Huron to offer providers, payors and research institutions data insights across the care continuum to make better decisions and proactively impact patient care and clinical outcomes.” James H. Roth, chief executive officer of Huron Since its founding in 2014, Perception Health has been providing the healthcare industry predictive data insights and intelligence to illuminate opportunities for their clients to gain a competitive advantage. Perception Health’s robust intelligence platform of solutions enables providers, payors and research institutions to analyze network integrity, identify early disease risk factors and optimize patient care. All Perception Health employees will join Huron, including Gregg Loughman, chief executive officer, and Tod Fetherling, co-founder and chief data scientist. “We are thrilled to join a values-led and people-focused organization that shares our vision for transforming healthcare,” said Gregg Loughman, chief executive officer of Perception Health. “Huron and Perception Health are strategically aligned and committed to helping our clients harness the power of curated data and analytics to make smarter decisions that profoundly impact patient outcomes, experience and cost of care.” Perception Health will be included in Huron’s Healthcare operating segment. Terms of the acquisition, which is expected to close in December, were not disclosed. ABOUT HURON Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. By embracing diverse perspectives, encouraging new ideas and challenging the status quo, we create sustainable results for the organizations we serve.

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DATA ARCHITECTURE

dotData and Tableau Partner to Accelerate Augmented and Predictive Analytics for the Business Intelligence Community

dotData | September 15, 2021

dotData, a leader in full-cycle enterprise AI automation solutions, today announced a partnership with Tableau, the world's leading analytics platform, to enable Tableau users to leverage the power of dotData's AI Automation Capabilities. As a result of this partnership, Tableau users will be able to build customized predictive analytics solutions faster and more easily. By combining Tableau's data preparation and visualization capabilities with dotData's augmented insights discovery and predictive modeling capabilities, Tableau users can perform full-cycle predictive analysis from raw data through data preparation and insight discovery through AI-based predictions and actionable dashboards. This partnership empowers a new class of citizen data scientists through our low code and no-code platforms and allows users to discover deeper, more diverse, and more predictive insights. We are very excited about this partnership with Tableau, one of the world's most renowned analytics platforms. This partnership accelerates our vision to democratize augmented and predictive analysis for enterprise through AI automation. Ryohei Fujimaki, Ph.D., founder and CEO of dotData dotData automates the full-cycle AI/ML development process, including data and feature engineering, the most manual and time-consuming step in AI and ML development. dotData's proprietary AI technology automatically discovers hidden and multi-modal insights from relational, transactional, temporal, geo-locational, and text data. Business intelligence and analytics teams can leverage dotData's no-code AI/ML automation solution to make their reporting and dashboards more predictive and actionable. It offers a streamlined integration of automated feature discovery and automated machine learning (AutoML) and allows BI teams to develop full-cycle ML models from raw business data, without wiring code. About dotData dotData pioneered AI-Powered Feature Engineering to accelerate and automate the process of building AI/ML models, to drive higher business value for the enterprise. dotData's automated data science platform accelerates ROI and lowers the total cost of model development by automating the entire data science process that is at the heart of AI/ML. dotData ingests raw business data and uses an AI-based engine to automatically discover meaningful patterns and build ML-ready feature tables from relational, transactional, temporal, geo-locational, and text data. dotData's scalable, flexible platform enables data scientists to discover and evaluate outstanding AI features; and empowers business intelligence professionals to addAI/ML models to their BI stacks and predictive analytics applications quickly and easily. Fortune 500 organizations around the world use dotData to accelerate their ML and AI development to drive higher business value. dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the "best machine learning platform" for 2019 by the AI breakthrough awards; was named a CRN "emerging vendor to watch" in the big data space in 2019 and featured on CRN's 2020 and 2021 Big Data 100 list; and was named to CB Insights' Top 100 AI Startups in 2020.

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BIG DATA MANAGEMENT

J.D. Power Acquires We Predict Data and Predictive Analytics Business

J.D. Power | June 06, 2022

J.D. Power, a global leader in data analytics and customer intelligence, today announced that it has acquired the data and predictive analytics business of We Predict, the UK-based provider of global automobile service and warranty analytics. We Predict’s software, which is used by auto manufacturers and suppliers to project future component failures and future warranty claims and costs, will be leveraged by J.D. Power to enhance its vehicle quality and dependability analytics, expand repair cost forecasting and provide critical valuation data. “Robust data and powerful analytics that help manufacturers, suppliers and consumers better predict future repair costs are a key link in the auto industry value chain that will only become more important as fleets of new electric vehicles start rolling off the assembly line,” said Dave Habiger, president and CEO of J.D. Power. “By augmenting our existing offerings with We Predict’s forecasting software, we will be able to deliver a more complete, detailed view of repair-related costs to better anticipate financial risk exposures.” “As the automobile industry enters a phase of massive transformation in which electric vehicles and ever-more complex technologies are rapidly becoming the norm, warranty claims and repair costs are a critical variable for manufacturers and suppliers to incorporate into their forecasting. “By incorporating We Predict’s comprehensive data and powerful analytics into our vehicle quality, dependability and valuation platforms, we will be able to create the industry’s most robust and accurate view of future warranty claims and repair costs.” Doug Betts, president of the global automotive division at J.D. Power We Predict software uses machine learning and predictive analytics to develop detailed projections of future warranty claims and repair costs for the global automobile industry. Drawing on a database of billions of service records, We Predict can accurately forecast true vehicle ownership costs, residual values, repair and warranty claims costs and more. “J.D. Power invented the idea of using data and analytics to evaluate vehicle quality and dependability, so the opportunity to become a part of that team and bring our software and operational data into the offering is enormously exciting to all of us at We Predict,” said James Davies, We Predict CEO. “The industry and consumers need accurate repair cost forecasting now more than ever and we look forward to being the leader in delivering those solutions.” Davies will become vice president of repair analytics and data at J.D. Power. We Predict will become part of the global automotive division at J.D. Power. About J.D. Power J.D. Power is a global leader in consumer insights, advisory services and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power has been delivering incisive industry intelligence on customer interactions with brands and products for more than 50 years. The world's leading businesses across major industries rely on J.D. Power to guide their customer-facing strategies. About We Predict Formed in 2009, We Predict uses machine learning and unique predictive methodologies to assist global blue-chip customers in anticipating and accelerating decisions on product, on market, as well as on financial performance. Our top-notch data scientists, mathematicians, computer scientists and industry experts work together with our clients to explore and gain new insights into where your business is headed, creating the opportunity to course-correct with confidence. Using our service, clients gain insights into huge amounts of data at the touch of a button so they can take action—fast. Some guess, we know.

Read More

BIG DATA MANAGEMENT

Huron to Acquire Healthcare Predictive Analytics Company Perception Health

Huron | December 23, 2021

Global professional services firm Huron today announced it has entered into an agreement to acquire Perception Health Inc., a healthcare predictive analytics company focused on bringing data sources together to illuminate opportunities for improved clinical and business decision-making. Huron’s deep healthcare expertise, technology and analytics capabilities combined with Perception Health’s analytics, predictive models and data platform will strengthen the firm’s ability to help providers uncover patterns of care to lower costs, improve patient outcomes and deliver a better healthcare experience. “The healthcare industry is under immense pressure to deliver high-quality, individualized care. This acquisition allows Huron to offer providers, payors and research institutions data insights across the care continuum to make better decisions and proactively impact patient care and clinical outcomes.” James H. Roth, chief executive officer of Huron Since its founding in 2014, Perception Health has been providing the healthcare industry predictive data insights and intelligence to illuminate opportunities for their clients to gain a competitive advantage. Perception Health’s robust intelligence platform of solutions enables providers, payors and research institutions to analyze network integrity, identify early disease risk factors and optimize patient care. All Perception Health employees will join Huron, including Gregg Loughman, chief executive officer, and Tod Fetherling, co-founder and chief data scientist. “We are thrilled to join a values-led and people-focused organization that shares our vision for transforming healthcare,” said Gregg Loughman, chief executive officer of Perception Health. “Huron and Perception Health are strategically aligned and committed to helping our clients harness the power of curated data and analytics to make smarter decisions that profoundly impact patient outcomes, experience and cost of care.” Perception Health will be included in Huron’s Healthcare operating segment. Terms of the acquisition, which is expected to close in December, were not disclosed. ABOUT HURON Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. By embracing diverse perspectives, encouraging new ideas and challenging the status quo, we create sustainable results for the organizations we serve.

Read More

DATA ARCHITECTURE

dotData and Tableau Partner to Accelerate Augmented and Predictive Analytics for the Business Intelligence Community

dotData | September 15, 2021

dotData, a leader in full-cycle enterprise AI automation solutions, today announced a partnership with Tableau, the world's leading analytics platform, to enable Tableau users to leverage the power of dotData's AI Automation Capabilities. As a result of this partnership, Tableau users will be able to build customized predictive analytics solutions faster and more easily. By combining Tableau's data preparation and visualization capabilities with dotData's augmented insights discovery and predictive modeling capabilities, Tableau users can perform full-cycle predictive analysis from raw data through data preparation and insight discovery through AI-based predictions and actionable dashboards. This partnership empowers a new class of citizen data scientists through our low code and no-code platforms and allows users to discover deeper, more diverse, and more predictive insights. We are very excited about this partnership with Tableau, one of the world's most renowned analytics platforms. This partnership accelerates our vision to democratize augmented and predictive analysis for enterprise through AI automation. Ryohei Fujimaki, Ph.D., founder and CEO of dotData dotData automates the full-cycle AI/ML development process, including data and feature engineering, the most manual and time-consuming step in AI and ML development. dotData's proprietary AI technology automatically discovers hidden and multi-modal insights from relational, transactional, temporal, geo-locational, and text data. Business intelligence and analytics teams can leverage dotData's no-code AI/ML automation solution to make their reporting and dashboards more predictive and actionable. It offers a streamlined integration of automated feature discovery and automated machine learning (AutoML) and allows BI teams to develop full-cycle ML models from raw business data, without wiring code. About dotData dotData pioneered AI-Powered Feature Engineering to accelerate and automate the process of building AI/ML models, to drive higher business value for the enterprise. dotData's automated data science platform accelerates ROI and lowers the total cost of model development by automating the entire data science process that is at the heart of AI/ML. dotData ingests raw business data and uses an AI-based engine to automatically discover meaningful patterns and build ML-ready feature tables from relational, transactional, temporal, geo-locational, and text data. dotData's scalable, flexible platform enables data scientists to discover and evaluate outstanding AI features; and empowers business intelligence professionals to addAI/ML models to their BI stacks and predictive analytics applications quickly and easily. Fortune 500 organizations around the world use dotData to accelerate their ML and AI development to drive higher business value. dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the "best machine learning platform" for 2019 by the AI breakthrough awards; was named a CRN "emerging vendor to watch" in the big data space in 2019 and featured on CRN's 2020 and 2021 Big Data 100 list; and was named to CB Insights' Top 100 AI Startups in 2020.

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