Mark Smith's Analyst Perspectives

Stibo Systems Continues to Advance PIM for Business and IT

Posted by Mark Smith on Dec 20, 2015 7:05:03 PM

Stibo Systems has been providing product information management (PIM) software for decades. Its work has helped many organizations worldwide take control of their product information by developing a master definition that can be published acrossmany channels from Web to digital to print. We recognized its work with customers Delta Faucet and Masco Corp. in our 2015 Ventana Research Leadership Award in Information Management. In 2014 Stibo Systems customer Brady Corp. won a similar award for Information Optimization. I have made it clear  that in our view, when it comes to use all kinds of product content and data in business processes, product information management trumps master data management. Delivering value to business with PIM is much different than managing data infrastructure with MDM. There has been much angst in varying industry analyst views on this market segment. We analyze and rate vendors more rigorously than analyst firms that look at them only through an IT lens. Our methodology and framework put business first and IT second, and that shapes how we score vendors in PIM, MDM and other aspects of the software industry.

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Topics: Master Data Management, MDM, mobile technology, Operational Performance Management (OPM), PIM, Stibo Systems, Cloud Computing, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Information Optimization, Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

Informatica Navigates Carefully to Broader Data Management

Posted by Ventana Research on Dec 16, 2015 1:21:46 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: 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, Uncategorized, Business Performance Management (BPM), Information Management (IM), Information Optimization, Risk & Compliance (GRC)

Profisee Simplifies Master Data Management

Posted by Ventana Research on Jan 8, 2015 7:59:29 AM

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: Big Data, Data Quality, Master Data Management, Social Media, Golden Records., MDM, Operational Performance Management (OPM), Business Analytics, Cloud Computing, Data Management, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

Informatica Establishes Order from Information Chaos

Posted by Mark Smith on Mar 11, 2013 4:06:35 PM

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.

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Topics: Big Data, Data Quality, Master Data Management, MDM, Business Analytics, Cloud Computing, Data Governance, Data Integration, Data Management, Governance, Risk & Compliance (GRC), Hadoop, Informatica, Information Management, Location Intelligence, Operational Intelligence, Business Intelligence (BI), CEP, Informatica Cloud, Information Management (IM), IT Performance Management (ITPM), Salesforce

Pitney Bowes Advances Spectrum for Information Management

Posted by Mark Smith on Feb 12, 2013 8:24:32 AM

Managing data efficiently across the enterprise continues to be a large challenge for both business units and IT. Organizations need data supplied in a consistent format and timely manner to help manage their activities and processes, but some do not look beyond conventional approaches to improvement. Today’s large volumes of data make it more difficult to understand the relationships among data and the role of location-related data. Our 2012 benchmark research on information management found that most organizations need to advance their data initiatives and take steps to integrate them.

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Topics: Big Data, Master Data Management, Social Media, MDM, Operational Performance Management (OPM), Business Analytics, Cloud Computing, Data Governance, Information Management, Location Intelligence, Business Intelligence (BI), Customer Performance Management (CPM), DG, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM)

The Secrets to Big Data and Information Optimization Revealed in 2013 Research Agenda

Posted by Mark Smith on Jan 16, 2013 3:09:37 PM

Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an outcome-based view that can handle the time–to-value urgency found in business. Big data analytics can help assess the volume of data, while the velocity of data that is potentially in-motion is best handled by what we call operational intelligence. Beyond these, techniques and technology such as predictive analytics and visual discovery facilitate extracting more value from big data. Along with a wide variety of data, these tools help organizations focus on optimizing information assets. We will soon conduct benchmark research into information optimization to determine how organizations are dealing with their information today and what steps they are taking to improve. In-memory computing will surely be one of those steps, as it can significantly improve the time-to-insight equation.

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Topics: Big Data, Master Data Management, Predictive Analytics, MDM, Business Analytics, Business Collaboration, Business Mobility, CIO, Cloud Computing, Data Governance, Data Integration, Information Management, Location Intelligence, Operational Intelligence, Business Intelligence (BI), Information Applications (IA), Information Management (IM), Product Information Management, Sales Performance Management (SPM), Workforce Performance Management (WPM)

Informatica Goes Heiler for PIM and Product Information Management

Posted by Mark Smith on Oct 2, 2012 11:03:02 AM

Informatica is a Hot vendor when it comes to our Value Index for Data Integration. When it comes to meeting the business need for consistent and high-quality product information, Informatica just raised its prospects with its announced takeover of Heiler Software. Until now, Informatica has lacked a product information management (PIM) offering. Germany-based Heiler Software, whose presence has continued to grow in Europe and North America, was recently ranked as a Hot Vendor in our Value Index for Product Information Management, as you can read in our no-cost executive report. Informatica’s purchase brings complementary products together from one supplier and will help organizations provide a higher quality and volume of product information throughout business processes, and help place business, rather than IT, in the role of creating, using and sharing information.

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Topics: MDM, Operational Performance Management (OPM), PIM, CIO, Data Governance, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

Stibo Is Red Hot for Product Information Management

Posted by Mark Smith on Aug 13, 2012 10:16:08 AM

When it comes to managing product information, organizations know they have room for improvement; only 27 percent trust their efforts completely, and less than a fifth (19%) are very satisfied with them. Almost half (48%) say they have too many incompatible tools, while 41 percent do not have a centralized information repository and 45 percent use a manual process to create a single complete, consistent and reliable product record. All of these facts and more from our product information management (PIM) benchmark indicate that businesses need a set of integrated processes and applications to meet their responsibilities. The benchmark found that adaptability, functionality and usability top technology and vendor considerations among the core components of our Value Index methodology.

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Topics: MDM, Operational Performance Management (OPM), PIM, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Managemnt, Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

Kalido Does Data Governance Right

Posted by Mark Smith on Nov 28, 2010 2:42:44 PM

The proper management of data is ever more important and complex. Business people must have easy access to data from all over the enterprise, but unguarded access and distribution may enable users to bypass the IT organization’s rules for data management, copy and paste whatever they like into spreadsheets and share it in uncontrolled fashion. Firm control of enterprise data requires policies and practice for governance, yet our benchmark research found that only 12 percent of organizations are innovative in their data governance. Reaching this highest level of maturity is not easy when you have to manage a portfolio of policies and rules that span business units and IT and must take into account people, processes, information and supporting technology. Despite this it is essential to address this data governance need and as I wrote is a 2010 priority (See: “Optimized IT and Focus on Information Technology in 2010“).

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Topics: Master Data Management, MDM, Data Governance, Kalido, Information Management (IM), IT Performance Management (ITPM)

Kalido Does Data Governance Right

Posted by Ventana Research on Jun 22, 2010 4:46:09 PM

The proper management of data is ever more important and complex. Business people must have easy access to data from all over the enterprise, but unguarded access and distribution may enable users to bypass the IT organization’s rules for data management, copy and paste whatever they like into spreadsheets and share it in uncontrolled fashion. Firm control of enterprise data requires policies and practice for governance, yet our benchmark research found that only 12 percent of organizations are innovative in their data governance. Reaching this highest level of maturity is not easy when you have to manage a portfolio of policies and rules that span business units and IT and must take into account people, processes, information and supporting technology. Despite this it is essential to address this data governance need and as I wrote is a 2010 priority (See: “Optimized IT and Focus on Information Technology in 2010“).

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Topics: Master Data Management, MDM, Data Governance, Kalido, Information Management (IM), IT Performance Management (ITPM)