This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.
Topics: Big Data, Data Quality, Master Data Management, Data Governance, Data Management, Informatica, data lakes, Informatica World, Data Storage
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.
Topics: Big Data, Data Quality, Master Data Management, MDM, Operational Performance Management (OPM), Cloud Computing, Data Integration, Data Management, Data Preparation, Governance, Risk & Compliance (GRC), Informatica, Information Management, Business Performance Management (BPM), Information Optimization, Risk & Compliance (GRC)
Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor Validation and TCO/ROI. The analysis shows that the top supplier is Information Builders, which qualifies as a Hot vendor and is followed by 10 other Hot vendors: SAP, IBM, MicroStrategy, Oracle, SAS, Qlik, Actuate (now part of OpenText) and Pentaho.
Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Governance, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Operational Intelligence, Value Index, Strata+Hadoop
Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created uncertainty. For example, only one in 11 participants in our benchmark research on big data analytics said that their organization fully agrees on the meaning of the term “big data analytics.”
Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Value Index, Strata+Hadoop
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.
Topics: Big Data, Data Quality, Master Data Management, Sales, Sales Performance, Social Media, Supply Chain Performance, Golden Records., MDM, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Data Management, Financial Performance, Information Applications, Information Management, Workforce Performance
Information management is important to every line of business that seeks to improve its business processes and decision-making. In response to pressure from those departments, CIOs and IT organizations must examine whether they have focused enough on the I for information and not just the T for technology, and if they have not, commit to taking this responsibility more seriously than in the past. Informatica is one vendor that realizes the potential of its information beyond just data integration, and this is reflected in its expanded product portfolio and position in the market over the last several years. Our firm has taken note of companies gaining value from using Informatica; we awarded our 2013 CIO Leadership Award to George Brenckle of UMass Memorial Health Care for his work to maximize the value of information assets through managing data innovatively. Informatica itself has enhanced its position by introducing its new brand and a new CMO and demonstrating commitment to change from its executive leadership team at the company’s recent 2013 user conference. The focus of the brand now is on helping business and IT find the full value of their information.
Topics: Data Quality, Master Data Management, PowerCenter, Operational Performance, Analytics, Business Analytics, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Information Optimization, Vibe
I recently attended the annual Informatica analyst summit to get the latest on that company’s strategy and plans. The data integration provider offers a portfolio of information management software that supports today’s big data and information optimization needs. Informatica is busy making changes in its presentation to the market and its marketing and sales efforts. New executives, including new CMO Marge Breya, are working to communicate what is possible with Informatica’s product portfolio, and it’s more than just data integration.
Topics: Big Data, Data Quality, Master Data Management, Salesforce.com, MDM, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Management, Governance, Risk & Compliance (GRC), Informatica, Information Applications, Information Management, Operational Intelligence, CEP, Informatica Cloud, Strata+Hadoop
Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storage technologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety, velocity and volume of big data being part of today’s information architecture, and the potential for big data to be a source to feed other systems, integration should be a top priority.
Topics: Big Data, Data Quality, Master Data Management, Business Technology Innovation, IT Performance, IT Research, Business Analytics, Business Intelligence, Data Integration, Information Applications, Information Management, Operational Intelligence
In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more than 2,600 organizations, almost half (45%) have to integrate six or more types of data in their analyses. More than two-thirds reported that they spend more time preparing data than analyzing it. To assist in dealing with these sorts of issues and others, we’ve laid out an ambitious information management research agenda for 2012.
Topics: Data Quality, Master Data Management, Social Media, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Complex Event Processing, Data Governance, Data Integration, Information Applications, Information Life Cycle Management, Information Management, Operational Intelligence
Talend recently announced version 5 of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, application integration and with this release business process management (BPM).
Topics: Big Data, Data Quality, Master Data Management, Talend, Business Analytics, Cloud Computing, Data Governance, Data Integration, Information Applications, Information Management, Strata+Hadoop
Kalido recently introduced version 9 of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient capabilities to meet an organization’s data integration needs. Its real value, however, comes from authoring and management of information about the user’s data warehouse.
Topics: Data Quality, Data Warehousing, Master Data Management, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Kalido
The information management (IM) technology market is undergoing a revolution similar to the one in the business intelligence (BI) market. We define information management as the acquisition, organization, control and use of information to create and enhance business value. It is a necessary ingredient of successful BI implementations, and while some vendors such as IBM, Information Builders, Pentaho and SAP are in addition integrating their BI and IM offerings, each discipline involves different aspects of the use of information and will require it sometimes integrated and sometimes separate.
Topics: Data Quality, Social Media, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence
SAP has launched its Enterprise Information Management (EIM) 4.0 release as part of its “Run Better Tour.” It includes a broad range of information management components spanning data integration, data quality, data profiling, metadata management and more. The launch was done in conjunction with SAP Business Intelligence (BI) 4.0, which got much bigger billing at the event –to the point where one might call this a stealth marketing campaign. However, the event did identify three themes intended to highlight EIM capabilities: event insight, trusted data and text processing. The goal here was to communicate the integration SAP has achieved within and between its BI and EIM products. IBM announced a similar advance with its InfoSphere products and Informatica has also invested heavily in integrating its information management products. Our Information Management benchmark research validates this approach, finding that incompatible tools create a significant obstacle to organizations’ quest for consistent sets of data.
Topics: Data Quality, SAP, Social Media, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence