What Customer-Centric Predictive Analytics Looks Like

AJAY KHANNA | 222 views

Who wouldn't want a crystal ball, that knew customer's intentions before they knew themselves?The idea of using predictive analytics to understand and influence customer behavior has tantalized retail and hospitality industries.It's not a new idea. Retailers, communication service providers, transportation and hospitality industries have used many predictive models to understand consumer behavior in the past. However, with changes in business models and consumer behavior, the predictive patterns change too.

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Dun & Bradstreet

Dun & Bradstreet data and insights help improve your business performance. Delivered through the Dun & Bradstreet Data Cloud and our market-leading solutions, our data and insights help you accelerate revenue, manage risk, lower cost and transform your business. Global businesses of all sizes rely on our data, insight & analytics. Visit us at www.dnb.com for more information.

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BIG DATA MANAGEMENT

How Artificial Intelligence Is Transforming Businesses

Article | July 15, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives.AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity.However, AI has not only transformed administrative processes and freed up more time for companies, it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.

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BUSINESS INTELLIGENCE

DRIVING DIGITAL TRANSFORMATION WITH RPA, ML AND WORKFLOW AUTOMATION

Article | July 28, 2022

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.

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BIG DATA MANAGEMENT

AI and Predictive Analytics: Myth, Math, or Magic

Article | July 5, 2022

We are a species invested in predicting the future as if our lives depended on it. Indeed, good predictions of where wolves might lurk were once a matter of survival. Even as civilization made us physically safer, prediction has remained a mainstay of culture, from the haruspices of ancient Rome inspecting animal entrails to business analysts dissecting a wealth of transactions to foretell future sales. With these caveats in mind, I predict that in 2020 (and the decade ahead) we will struggle if we unquestioningly adopt artificial intelligence (AI) in predictive analytics, founded on an unjustified overconfidence in the almost mythical power of AI's mathematical foundations. This is another form of the disease of technochauvinism I discussed in a previous article.

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Predictive analytics vs AI Why the difference matters

Article | February 10, 2020

There are few movie scenes I can recall from my childhood, but I vividly remember seeing the 1968 Stanley Kubrick sci-fi movie 2001 A Space Odyssey in 1970 with my older cousin. What stays with me to this day is the scene where astronaut Dave asks HAL, the homicidal computer based on artificial intelligence (AI), to open the pod bay doors. HAL's eerie reply: I'm sorry, Dave. I'm afraid I can't do that.In that moment, the concept of man vs. machine was created, predicated on the idea that machines created by man and using AI could (eventually) defy orders, position themselves in the vanguard, and overthrow humankind. Fast forward to today. Within the information governance space, there are two terms that have been used quite frequently in recent years analytics and AI. Often they are used interchangeably and are practically synonymous.

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Spotlight

Dun & Bradstreet

Dun & Bradstreet data and insights help improve your business performance. Delivered through the Dun & Bradstreet Data Cloud and our market-leading solutions, our data and insights help you accelerate revenue, manage risk, lower cost and transform your business. Global businesses of all sizes rely on our data, insight & analytics. Visit us at www.dnb.com for more information.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE

Altair Announces Altair RapidMiner: One Converged Platform for Data Analytics and Artificial Intelligence

Altair | March 17, 2023

Altair, a global leader in computational science and artificial intelligence (AI), announced the rebrand of its entire data analytics and AI suite as Altair RapidMiner, uniting all data analytics technology into one platform. Following the acquisitions of RapidMiner and World Programming, the Altair RapidMiner platform offers comprehensive end-to-end solutions from data ingestion and modeling to operationalization and visualization. Additionally, the platform is now available via Altair Units, delivering a new generation of Frictionless AI capabilities to customers. "Altair RapidMiner removes barriers to effectively connect three of an organization's most important assets: data, people, and processes. With an unrivaled and complete set of tools to transform organizations, we are paving the way to a frictionless future," said Sam Mahalingam, chief technology officer, Altair. "The platform enables users of all skill levels to accelerate projects from idea to production, modernizes legacy environments, and caters to enterprise needs with desktop and cloud offerings. We meet you where you are and evolve with your company, wherever you go in the future." The Altair RapidMiner platform delivers breadth and depth across the analytics lifecycle with unique capabilities that overcome the most challenging obstacles organizations face along their digital transformation journey. Most notably, Altair RapidMiner: Scales AI initiatives without requiring a big team of data scientists or expensive services engagements. Organizations can upskill their workforce so users from novice to expert can leverage the tools needed to provide data-driven insights. Empowers users to extract and prep data easily from any source, working with reports and PDFs that are core to the business. Alleviates the pressure of modernizing expensive legacy environments. Teams can create, maintain, and run SAS language programs, models, and workflows directly in a multi-language environment (e.g. Python, R, SQL). Gets more models into production. Teams can operationalize models faster and monitor them continuously across one shared MLOps environment. Processes and displays massive amounts of fast-changing data. Users can build sub-second streaming, batch, and business intelligence (BI) data applications. Whether an organization requires end-to-end or composable analytics, Altair RapidMiner enables customers to deliver the right tool at the right time to their diverse teams. Upskill Your Organization In addition to the Altair RapidMiner platform, Altair helps organizations shape their data analytics programs and upskill their employees with the Center of Excellence (CoE) methodology. The CoE identifies the highest priority use cases and helps tackle those first, upskills the business line teams so they can address data analytics problems themselves, and trains everyone – from business analysts to data scientists – to use the right tools for the problem. Training is available through the Altair RapidMiner Academy, which provides self-paced, persona-based learning for users of all skill levels and industries. These programs offer bite-sized learning alongside curated courses and pathways, designed to match roles, knowledge domains, and skill levels. Altair Units: Freedom, Flexibility, and Value Historically, the data analytics sector has revolved around named-user pricing that drives up costs and limits access. Altair Units – Altair's gold standard software licensing system – democratizes access to data analytics solutions while simultaneously making it more affordable than ever to access these tools. The ability to access all of Altair's data analytics and AI products via Altair Units gives users the flexibility to run software anywhere, the freedom to choose what software tools they need when they need them, and unparalleled value that maximizes use and minimizes cost. About Altair Altair is a global leader in computational science and artificial intelligence (AI) that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

USEReady Unveils MigratorIQ for Business Intelligence and Cloud Computing

USEReady | March 16, 2023

On March 15, 2023, USEReady, a leading data and analytics solutions provider, launched MigratorIQ, a comprehensive migration solution to automate and streamline organizations' transition to modern BI (Business Intelligence) and cloud computing platforms. MigratorIQ is the culmination of USEReady's years of expertise assisting enterprises with migrating to new data ecosystems. MigratorIQ is based on a solution-specific methodology called MOM (Migration, Optimization and Modernization). The solution addresses the problems of CDAO (Chief Data Officer) offices that must handle migration and modernization along with BI investment optimization. The Migration module aids in retiring legacy systems, the Optimization module emphasizes the right environment size, and the Modernization module focuses on cloud deployment. In addition, MigratorIQ is offered with a suite of tools designed to automate the digital transformation journey more than other choices. With modern platforms, MigratorIQ has achieved 45% quicker TTM, 55% smaller report footprint, and 50% faster report processing time. Post-migration modernization and optimization are accomplished using tools like SnowIQ and Pixel Perfect, which provide observability and report bursting on a data clouds platform like Salesforce or Snowflake. To migrate to the cloud, USEReady uses its proven "Plan Migrate Validate" architecture, and post-migration assistance is provided through a program called Data Cloud Expert (DCExp). The USEReady team will attend the Gartner Data & Analytics Summit in Orlando, FL, from March 20 - 22, 2023, to discuss migration difficulties and learn more about MigratorIQ. About USEReady USEReady is a leading provider of data and analytics solutions. It specializes in helping organizations migrate to modern data ecosystems through its purpose-built solution approach called MOM (Migration, Optimization and Modernization). It gives organizations the strategies, tools, capabilities, and capacity to convert data into a competitive advantage. USEReady collaborates with cloud and data ecosystem titans, including Tableau, Salesforce, Snowflake, and Amazon Web Services, and has been named Tableau partner of the year on many occasions. With years of experience in data migration, the company helps organizations tackle migration with modernization while optimizing their BI investment.

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BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE

TIBCO Scales Data Science with Immersive Analytics

TIBCO | March 15, 2023

On March 14, 2023, TIBCO, a leading data connectivity, management, and analytics solutions provider helping businesses solve complex data challenges, announced a set of updates to its analytics suite. These updates aim to provide customers with immersive, real-time analytics that empower them to make better business decisions with confidence and impact benefiting from smarter and faster insights. The enhancements to TIBCO's analytics solutions, including TIBCO Spotfire, narrows the gap between action and insight, building on data science capabilities to accelerate time-to-decision and reduce operational costs. The TIBCO Data Management and Analytics portfolios provide a streamlined user experience by combining data management, visual analytics, streaming, and data science capabilities to improve business outcomes. TIBCO's analytics solutions have been enhanced to further support clients on their digital journeys, including upgrades to the following offerings: TIBCO Spotfire 12.2- offers a scalable, self-service analytics platform with built-in governance that enables human and automated decisions. TIBCO Spotfire Cloud Actions allows users to trigger actions and transactional workflows within the platform, bridging the gap between insight and decision. The application's new native TIBCO ModelOps capabilities deliver AI model management for real-time data science predictions. Additionally, Spotfire deployments are now managed natively in the cloud, reducing the cost of ownership and improving the user experience of IT and systems staff. TIBCO Streaming- now includes dynamic learning, which automates data analytics calculations and management on real-time events, expanding business intelligence into low-latency operational use cases such as IoT and edge sensors. In addition, Spotfire serves as a decision and control hub, making both human-in-the-loop monitoring and consistent automated decisions more efficient. TIBCO Data Science- Team Studio bolsters TIBCO's mission to democratize data science at scale, offering end-to-end lifecycle support for data access, preparation, feature engineering, management, model training, inference, and operations deployment. Updates consist of a new Apache Spark 3 workflow engine, TIBCO Data Virtualization for data management, and a new operator framework that enables workflows to execute as a single Spark application, thereby improving performance. The updates also provide greater interoperability with TIBCO Spotfire and TIBCO Data Virtualization, thus allowing users to control data preparation, feature engineering, training, and inference at scale within the Spotfire user interface. In the context of the business challenge at hand, end-user apps can train models, make predictions, summarize the data, and use data science approaches. About TIBCO TIBCO is a global leader in data connectivity, management, and analytics, providing innovative solutions that empower enterprises to solve complex data challenges and make critical business decisions with greater confidence and impact. Focusing on delivering seamless user experiences, its Data Management and Analytics portfolios combine visual analytics, data management, streaming, and data science capabilities to drive better business outcomes. With a focus on delivering immersive, intelligent, and real-time analytics, TIBCO is at the forefront of the data management and analytics industry, providing cutting-edge solutions to customers worldwide.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE

Altair Announces Altair RapidMiner: One Converged Platform for Data Analytics and Artificial Intelligence

Altair | March 17, 2023

Altair, a global leader in computational science and artificial intelligence (AI), announced the rebrand of its entire data analytics and AI suite as Altair RapidMiner, uniting all data analytics technology into one platform. Following the acquisitions of RapidMiner and World Programming, the Altair RapidMiner platform offers comprehensive end-to-end solutions from data ingestion and modeling to operationalization and visualization. Additionally, the platform is now available via Altair Units, delivering a new generation of Frictionless AI capabilities to customers. "Altair RapidMiner removes barriers to effectively connect three of an organization's most important assets: data, people, and processes. With an unrivaled and complete set of tools to transform organizations, we are paving the way to a frictionless future," said Sam Mahalingam, chief technology officer, Altair. "The platform enables users of all skill levels to accelerate projects from idea to production, modernizes legacy environments, and caters to enterprise needs with desktop and cloud offerings. We meet you where you are and evolve with your company, wherever you go in the future." The Altair RapidMiner platform delivers breadth and depth across the analytics lifecycle with unique capabilities that overcome the most challenging obstacles organizations face along their digital transformation journey. Most notably, Altair RapidMiner: Scales AI initiatives without requiring a big team of data scientists or expensive services engagements. Organizations can upskill their workforce so users from novice to expert can leverage the tools needed to provide data-driven insights. Empowers users to extract and prep data easily from any source, working with reports and PDFs that are core to the business. Alleviates the pressure of modernizing expensive legacy environments. Teams can create, maintain, and run SAS language programs, models, and workflows directly in a multi-language environment (e.g. Python, R, SQL). Gets more models into production. Teams can operationalize models faster and monitor them continuously across one shared MLOps environment. Processes and displays massive amounts of fast-changing data. Users can build sub-second streaming, batch, and business intelligence (BI) data applications. Whether an organization requires end-to-end or composable analytics, Altair RapidMiner enables customers to deliver the right tool at the right time to their diverse teams. Upskill Your Organization In addition to the Altair RapidMiner platform, Altair helps organizations shape their data analytics programs and upskill their employees with the Center of Excellence (CoE) methodology. The CoE identifies the highest priority use cases and helps tackle those first, upskills the business line teams so they can address data analytics problems themselves, and trains everyone – from business analysts to data scientists – to use the right tools for the problem. Training is available through the Altair RapidMiner Academy, which provides self-paced, persona-based learning for users of all skill levels and industries. These programs offer bite-sized learning alongside curated courses and pathways, designed to match roles, knowledge domains, and skill levels. Altair Units: Freedom, Flexibility, and Value Historically, the data analytics sector has revolved around named-user pricing that drives up costs and limits access. Altair Units – Altair's gold standard software licensing system – democratizes access to data analytics solutions while simultaneously making it more affordable than ever to access these tools. The ability to access all of Altair's data analytics and AI products via Altair Units gives users the flexibility to run software anywhere, the freedom to choose what software tools they need when they need them, and unparalleled value that maximizes use and minimizes cost. About Altair Altair is a global leader in computational science and artificial intelligence (AI) that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

USEReady Unveils MigratorIQ for Business Intelligence and Cloud Computing

USEReady | March 16, 2023

On March 15, 2023, USEReady, a leading data and analytics solutions provider, launched MigratorIQ, a comprehensive migration solution to automate and streamline organizations' transition to modern BI (Business Intelligence) and cloud computing platforms. MigratorIQ is the culmination of USEReady's years of expertise assisting enterprises with migrating to new data ecosystems. MigratorIQ is based on a solution-specific methodology called MOM (Migration, Optimization and Modernization). The solution addresses the problems of CDAO (Chief Data Officer) offices that must handle migration and modernization along with BI investment optimization. The Migration module aids in retiring legacy systems, the Optimization module emphasizes the right environment size, and the Modernization module focuses on cloud deployment. In addition, MigratorIQ is offered with a suite of tools designed to automate the digital transformation journey more than other choices. With modern platforms, MigratorIQ has achieved 45% quicker TTM, 55% smaller report footprint, and 50% faster report processing time. Post-migration modernization and optimization are accomplished using tools like SnowIQ and Pixel Perfect, which provide observability and report bursting on a data clouds platform like Salesforce or Snowflake. To migrate to the cloud, USEReady uses its proven "Plan Migrate Validate" architecture, and post-migration assistance is provided through a program called Data Cloud Expert (DCExp). The USEReady team will attend the Gartner Data & Analytics Summit in Orlando, FL, from March 20 - 22, 2023, to discuss migration difficulties and learn more about MigratorIQ. About USEReady USEReady is a leading provider of data and analytics solutions. It specializes in helping organizations migrate to modern data ecosystems through its purpose-built solution approach called MOM (Migration, Optimization and Modernization). It gives organizations the strategies, tools, capabilities, and capacity to convert data into a competitive advantage. USEReady collaborates with cloud and data ecosystem titans, including Tableau, Salesforce, Snowflake, and Amazon Web Services, and has been named Tableau partner of the year on many occasions. With years of experience in data migration, the company helps organizations tackle migration with modernization while optimizing their BI investment.

Read More

BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE

TIBCO Scales Data Science with Immersive Analytics

TIBCO | March 15, 2023

On March 14, 2023, TIBCO, a leading data connectivity, management, and analytics solutions provider helping businesses solve complex data challenges, announced a set of updates to its analytics suite. These updates aim to provide customers with immersive, real-time analytics that empower them to make better business decisions with confidence and impact benefiting from smarter and faster insights. The enhancements to TIBCO's analytics solutions, including TIBCO Spotfire, narrows the gap between action and insight, building on data science capabilities to accelerate time-to-decision and reduce operational costs. The TIBCO Data Management and Analytics portfolios provide a streamlined user experience by combining data management, visual analytics, streaming, and data science capabilities to improve business outcomes. TIBCO's analytics solutions have been enhanced to further support clients on their digital journeys, including upgrades to the following offerings: TIBCO Spotfire 12.2- offers a scalable, self-service analytics platform with built-in governance that enables human and automated decisions. TIBCO Spotfire Cloud Actions allows users to trigger actions and transactional workflows within the platform, bridging the gap between insight and decision. The application's new native TIBCO ModelOps capabilities deliver AI model management for real-time data science predictions. Additionally, Spotfire deployments are now managed natively in the cloud, reducing the cost of ownership and improving the user experience of IT and systems staff. TIBCO Streaming- now includes dynamic learning, which automates data analytics calculations and management on real-time events, expanding business intelligence into low-latency operational use cases such as IoT and edge sensors. In addition, Spotfire serves as a decision and control hub, making both human-in-the-loop monitoring and consistent automated decisions more efficient. TIBCO Data Science- Team Studio bolsters TIBCO's mission to democratize data science at scale, offering end-to-end lifecycle support for data access, preparation, feature engineering, management, model training, inference, and operations deployment. Updates consist of a new Apache Spark 3 workflow engine, TIBCO Data Virtualization for data management, and a new operator framework that enables workflows to execute as a single Spark application, thereby improving performance. The updates also provide greater interoperability with TIBCO Spotfire and TIBCO Data Virtualization, thus allowing users to control data preparation, feature engineering, training, and inference at scale within the Spotfire user interface. In the context of the business challenge at hand, end-user apps can train models, make predictions, summarize the data, and use data science approaches. About TIBCO TIBCO is a global leader in data connectivity, management, and analytics, providing innovative solutions that empower enterprises to solve complex data challenges and make critical business decisions with greater confidence and impact. Focusing on delivering seamless user experiences, its Data Management and Analytics portfolios combine visual analytics, data management, streaming, and data science capabilities to drive better business outcomes. With a focus on delivering immersive, intelligent, and real-time analytics, TIBCO is at the forefront of the data management and analytics industry, providing cutting-edge solutions to customers worldwide.

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