Mark Smith's Analyst Perspectives

Product Information Management Trumps Master Data Management

Posted by Ventana Research on Nov 8, 2015 6:44:36 PM

Ventana Research defines product information management (PIM) as the practice of using information, applications and other technology to effectively support product-related processes across the customer, commerce and supply chain. As organizations increase the number and diversity of products and services they offer to customers and partners, they increasingly need to address limitations in the ways they manage and distribute product information, including related attributes and content that describes the pro­ducts. At the same time, compe­ti­tive pressures require them to be able to incorporate large amounts of new content – video and images, for example – quickly while ensuring that the information present­ed to customers is accurate, operational processes run uninterrupted and timely data is available for business analysis. In an en­vironment in which consumers, suppliers and partners use multiple channels to get to product information – including websites, kiosks, smart­phones and tablets – it is essential that the organization always be able to present complete and up-to-date product information to inspire interest and facilitate purchases.

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Topics: Big Data, Master Data Management, Governance, Marketing, Operational Performance Management (OPM), CIO, Business Performance Management (BPM), Financial Performance Management (FPM), Information Management (IM), Information Optimization, Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

The State of Product Information Management Software for Business and IT

Posted by Ventana Research on Nov 8, 2015 6:19:59 PM

The importance of product information management (PIM) has become clear in recent years and especially as it relates to master data management. As I recently wrote handling this business process effectively and using capable software should be priorities for any organization in marketing and selling its products and services but also interconnecting the distributed supply chain. Our research on product information management can help organizations save time and resources in efforts to ensure that product information is an asset to facilitate efficiency in many business processes. Through years of benchmarking, we have developed a blueprint for managing and improving product information. Using this approach enables companies to more effectively align and link their activities and processes. Of course achieving effectiveness also requires using applications that create consistent, reliable product information. We regularly update our Value Index for PIM to enable companies to evaluate vendors and their applications’ suitability for use in all business processes requiring product information.

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Topics: Big Data, Master Data Management, Agility Multichannel, Enterworks, Operational Performance Management (OPM), Stibo Systems, Webon, CIO, IBM, Informatica, Oracle, ADAM Software, Business Performance Management (BPM), Financial Performance Management (FPM), Information Management (IM), Information Optimization, Product Information Management, Riversand, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)

A New Generation of Analytics Offers Help for Sales

Posted by Ventana Research on Feb 24, 2015 8:31:32 PM

All lines of business are under pressure to meet targets and deliver expected results, but none is under more pressure than Sales. Like other organizations it must use information to derive insights about progress and problems and to decide what changes to make. Today businesses collect and analyze data from more data sources in more forms than ever before. To understand it they need effective analytics, and again none need it more than Sales.

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Topics: Big Data, Sales, Operational Performance Management (OPM), sales analytics, Business Analytics, Business Collaboration, Cloud Computing, Business Intelligence (BI), Business Performance Management (BPM), Financial Performance Management (FPM), Information Applications (IA), Sales Performance Management, Sales Performance Management (SPM), SFA

The Establishment of Data Preparation

Posted by Ventana Research on Feb 21, 2015 12:45:49 AM

Data is an essential ingredient for every aspect of business, and those that use it well are likely to gain advantages over competitors that do not. Our benchmark research on information optimization reveals a variety of drivers for deploying information, most commonly analytics, information access, decision-making, process improvements and customer experience and satisfaction. To accomplish any of these purposes requires that data be prepared through a sequence of steps: accessing, searching, aggregating, enriching, transforming and cleaning data from different sources to cre­ate a single uniform data set. To prepare data properly, businesses need flex­ible tools that enable them to en­rich the context of data drawn from multiple sources, collaborate on its preparation to serve business needs and govern the process of preparation to ensure security and consistency. Users of these tools range from analysts to operations professionals in the lines of business.

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Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Mobility, Cloud Computing, Data Preparation, Location Intelligence, Operational Intelligence, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)

MicroStrategy Powers Up Security for Analytics and BI

Posted by Ventana Research on Feb 17, 2015 11:44:00 PM

At its annual MicroStrategy World conference, this provider of analytics and business intelligence systems for business and IT introduced a new version of its flagship product, MicroStrategy 9s. Among many advances it adds enterprise grade security with MicroStrategy Usher as part of the maintenance update to its 9.4.1 release. Security is increasingly critical for analytics and BI. Technologies that work intensively with data, including reporting, business intelligence, analytics and data preparation, have access to a range of applications and databases and could leave gaps in access controls and security of essential business data. Already in 2015 the data breach at Anthem put more than 80 million medical records at risk. Our benchmark research in big data analytics finds that integration into security and user access frameworks is a very important capability to 37 percent of organizations.

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Topics: Big Data, Mobile, Governance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Risk & Compliance (GRC), Sales Performance Management (SPM), Security

Big Data Research Agenda and Trends are Bolder in 2015

Posted by Mark Smith on Feb 7, 2015 9:46:10 PM

Big data has become a big deal as the technology industry has invested tens of billions of dollars to create the next generation of databases and data processing. After the accompanying flood of new categories and marketing terminology from vendors, most in the IT community are now beginning to understand the potential of big data. Ventana Research thoroughly covered the evolving state of the big data and information optimization sector in 2014 and will continue this research in 2015 and beyond. As it progresses the importance of making big data systems interoperate with existing enterprise and information architecture along with digital transformation strategiesbecomes critical. Done properly companies can take advantage of big data innovations to optimize their established business processes and execute new business strategies. But just deploying big data and applying analytics to understand it is just the beginning. Innovative organizations must go beyond the usual exploratory and root-cause analyses through applied analytic discovery and other techniques. This of course requires them to develop competencies in information management for big data.

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Topics: Big Data, MapR, Predictive Analytics, SAP, Human Capital, Mulesoft, Operational Performance Management (OPM), Paxata, SnapLogic, Splunk, Business Analytics, Cloud Computing, Cloudera, Hadoop, Hortonworks, IBM, Informatica, Information Management, Operational Intelligence, Oracle, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Datawatch, Dell Boomi, Financial Performance Management (FPM), Information Management (IM), Information Optimization, Sales Performance Management (SPM), Savi, Sumo Logic, Supply Chain Performance Management (SCPM), Tamr, Trifacta

Research Agenda: Technology Innovation for Business in 2015

Posted by Ventana Research on Feb 2, 2015 7:10:13 AM

This year presents much opportunity for organizations to use a new generation of technology to compete better, be more efficient in their business operations and engage their workforces to their full potential. We have identified and begun to track the following next-generation technologies: analytics, big data, collaboration, cloud computing, mobile technology and social media, and in 2014 we added wearable computing to the list. In 2015 we will intensify our focus on all of them specifically in our research agenda and as part of our line of business research agendas.

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Topics: Big Data, Social Media, Governance, Mobile Technology, Operational Performance Management (OPM), Wearable Computing, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Location Intelligence, Operational Intelligence, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Risk & Compliance (GRC), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Technology Innovation, Workforce Performance Management (WPM)

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)

Integration of Big Data Involves Challenges

Posted by Ventana Research on Dec 31, 2014 10:00:45 AM

Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative. Furthermore, while many organizations are sophisticated in dealing with the information, they are less able to handle the people-related areas, lacking the right level of training in the skills required to integrate big data. Most said that the training they provide is only somewhat adequate or inadequate.

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Topics: Big Data, Operational Performance Management (OPM), Business Analytics, CIO, Cloud Computing, Data Integration, Hadoop, Business Intelligence (BI), Business Performance Management (BPM), Information Applications (IA), Information Management (IM)

Big Data Requires Integration Technology

Posted by Ventana Research on Nov 7, 2014 5:56:45 AM

The market for big data continues to grow as organizations try to extract business value from their own masses of data and other sources. Earlier this year I outlined the dynamics of the business opportunity for big data and information optimization. We continue to see advances as big data and associated information technologies deliver more value, but the range of innovation also has created fragmentation among existing systems including databases that are managed onpremises or in cloud computing environments. In this changing environment organizations encounter new challenges not only in adapting to technology that is more efficient in automating data processing but also in integrating it into their enterprise architecture. I’ve already explained how big data can be ineffective without integration, and we conducted more in-depth research into the market, resulting in our benchmark research on big data integration, which reveals the state of how organizations are adopting this technology in their processes.

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Topics: Big Data, Business Analytics, Information Management, Information Applications (IA), Information Management (IM), Information Optimization