Ventana Research Analyst Perspectives

The Untapped Potential of Data Preparation

Posted by David Menninger on Dec 29, 2017 5:53:44 AM

Ventana Research recently published the findings of our benchmark research on Data Preparation, which examines the practices organizations use to accomplish data preparation. We view data preparation as a sequence of steps: identifying, locating and then accessing the data; aggregating data from different sources; and enriching, transforming and cleaning it to create a single uniform data set. Using data to accomplish organizational goals requires that it be prepared for use; to do this job properly, businesses need flexible tools that enable them to enrich the context of data drawn from multiple sources and collaborate on its preparation as well as ensure security and consistency. Users of data preparation tools range from analysts to operations professionals in the lines of business to IT professionals.

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Topics: Big Data, Analytics, Data Preparation

SAP Data Hub Orchestrates Data for Business and IT

Posted by David Menninger on Dec 14, 2017 8:22:13 AM

I recently attended SAP TechEd in Las Vegas to hear the latest from the company regarding its analytics and business intelligence offerings as well as its data management platform. The company used the event to launch SAP Data Hub and made several other data and analytics announcements that I’ll cover below.

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Topics: Big Data, SAP, Machine Learning, Analytics, Data Preparation, SAP TechEd

Datawatch Gets Social with Data Preparation

Posted by David Menninger on Aug 24, 2017 3:06:55 AM

Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes.  Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not readily available. In our Big Data Integration research, 52 percent report spending that in working with big data integration processes, they spend the most time reviewing data for quality and consistency.  And nearly half of companies (48%) report this same issue in our Internet of Things research. We are currently conducting further research into this critical issue with our Data Preparation benchmark research.

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Topics: Analytics, Collaboration, Data Preparation, Datawatch

Informatica Asserts Its Commitment to the Cloud and Machine Learning

Posted by David Menninger on May 27, 2017 12:20:03 AM

Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the public to recognize Informatica as a leader in cloud-based data management services for enterprises. Presenters also made notable product announcements, discussed below, including the application of machine learning to the data management process.

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Topics: Big Data, data science, Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Preparation, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

SAS Brings Portfolio of Data Science with Viya

Posted by David Menninger on Apr 5, 2017 9:46:58 AM

I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.

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Topics: Big Data, data science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology