Ventana Research Analyst Perspectives

Informatica Continues to Evolve Data Management Platform

Posted by David Menninger on Apr 8, 2021 3:00:00 AM

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and self-service business intelligence (BI) tools running on top of cloud-computing infrastructure in order to improve efficiency. However, cloud adoption means living with a mix of on-premises and multiple cloud-based systems in a hybrid computing environment. The challenge is to ensure that processes, applications and data can still be integrated across cloud and on-premises systems. Our research shows that organizations still have a significant requirement for on-premises data management but also have a growing requirement for cloud-based capabilities.

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Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Internet of Things, Data, natural language processing, AI and Machine Learning

Data in 2021: Ventana Research Market Agenda

Posted by David Menninger on Feb 26, 2021 3:00:00 AM

Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

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Topics: Data Governance, Data Preparation, Information Management, Data, data lakes, Streaming Data, data operations, Event Data, Data catalog, Event Streams, Event Stream Processing

Continuous Planning is Optimized with AI and External Data

Posted by Robert Kugel on Feb 1, 2021 3:00:00 AM

In the context of planning, budgeting and benchmarking, external data includes information about the world outside an organization such as economic and market statistics, competitors and customers. Today, a comprehensive set of external data is a “nice to have” item in most organizations, but that’s likely to change. External data is necessary for useful and accurate business-focused planning and budgeting, and for performance benchmarking. It is also essential for the effective applications of artificial intelligence (AI) to these functions.

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Topics: Information Management, Business Planning, Financial Performance Management, Predictive Planning, AI and Machine Learning, digital finance

Introducing Precisely for Data Integrity

Posted by David Menninger on Jan 25, 2021 3:00:00 AM

Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly. Without data integrity, organizations cannot trust the information produced by their data processes, and will be discouraged from using that data, resulting in inefficiencies and reduced effectiveness.

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Topics: business intelligence, Analytics, Data Governance, Data Preparation, Information Management, Data, data lakes

Cloudera Consolidates Its Data Platform

Posted by David Menninger on Jan 22, 2021 3:00:00 AM

Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. Our research shows that nearly three-quarters of organizations deploy both data lakes and data warehouses but are using a variety of approaches which can be cumbersome. A single platform that can provide both capabilities will help address organizations’ requirements.

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Topics: PROS Pricing, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, data lakes, AI and Machine Learning