This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Dreamforce 2018, and my analysis of all the largest announcements, watch my hot take video.
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Topics: Teradata, Data Warehousing, Data Preparation, Analytics, Data Management, Big Data, Data, digital technology, Data Governance, Information Management
Self-Describing Data Powers B2B Blockchain Distributed Ledgers
Posted by
Robert Kugel on Feb 15, 2018 7:22:37 AM
The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its adoption.
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Topics: Planning, Continuous Planning, Integrated Business Planning, FP&A, budget, Budgeting, Forecast, forecasting, Predictive Analytics, Analytics, Reporting, consolidating, Data Management, AI, Machine Learning, Cognitive Computing
Predictive Finance Organizations Are More Valuable
Posted by
Robert Kugel on Feb 12, 2018 4:31:44 AM
Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in accounting, data preparation and reporting. (I recently summarized these in a “Robotic Finance”)
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Topics: Planning, Continuous Planning, Integrated Business Planning, FP&A, budget, Budgeting, Forecast, Predictive Analytics, Analytics, Reporting, Data Management, AI, Machine Learning, Cognitive Computing
Informatica Navigates Carefully to Broader Data Management
Posted by
Mark Smith on Dec 16, 2015 1:16:15 AM
This has been a dramatic year for Informatica, a major provider of data integration software. In August it was acquired and taken private by Permira funds and Canada Pension Plan Investment Board for about US$5.3 billion. This change was accompanied by shifts in its management. CEO Sohaib Abbasi became chairman and now has left, and many executives were replaced while Anil Chakravathy became CEO from being the Chief Product Officer. The new owners appear to have shifted the company’s strategic priorities to emphasize profitability with reduced headcount and return on the purchase investment. Despite these changes, during the past six months Informatica has made key product announcements that will impact its future and the future of data management.
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Topics: Business Performance Management (BPM), Cloud Computing, Data Integration, Data Management, Data Preparation, Data Quality, Governance, Risk & Compliance (GRC), Informatica, Information Management, Information Optimization, Master Data Management, MDM, Operational Performance Management (OPM), Risk & Compliance (GRC), Big Data
Organizations today create and collect data at ever faster rates, and this introduces challenges in ensuring that data is not just managed but used in a consistent manner for a range of operational and analytic tasks. This is made more difficult by new data sources whose definitions vary from standard and widely used formats. Making all information available and consistent is essential to support business processes and decision-making. A key technology tool for this effort is master data management (MDM). Every business area needs MDM, whether it deals with customers, products, employees, finance or others individually or collectively in what is called multidomain MDM. It is an essential tool for data governance across an organization, which has become a focal point for improvement as many organizations spend significant time in data-related tasks. Our benchmark research on information optimization shows that preparing data for analysis (47%) and reviewing data for quality and consistency issues (45%) are the two information tasks that consume the most time. Properly used MDM enables data stewards and other IT professionals to improve the consistency and quality of departmental and enterprise data.
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Topics: Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Data Management, Data Quality, Financial Performance, Golden Records., Information Applications, Information Management, Master Data Management, MDM, Operational Performance, Sales Performance, Social Media, Supply Chain Performance, Workforce Performance, Big Data, Analytics, Sales
