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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 vr_Info_Optimization_04_basic_information_tasks_consume_timewidely 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.

Profisee is a software vendor that seeks to provide consistent definitions across data through master data management. It has been part of the MDM industry since its origins when the company’s founders created what is now part of Microsoft SQL Master Data Services. Profisee offers dedicated technology to help manage data across applications, databases and systems. Its data management platform and tools, Master Data Maestro Suite, provides the ability to establish and maintain consistent business definitions that help normalize any kind of data. It supports analysts, data stewards and others responsible for making data suitable for a range of operational and business tasks by helping them establish “golden” records – the agreed-upon data definitions and formats that users can trust.

Maestro Desktop provides the core functions of MDM, from modeling of data to definitions and mapping of data from applications and systems. It enables management of hierarchies that align, map and roll up data. In addition it offers Golden Record Management in which data quality, matching and survivorship contribute to establishing golden records for operational and analytical needs. Profisee handles various data quality tasks from simple ones such as address validation to location and contact services that help streamline tasks that can be difficult and time-consuming. The product has been designed to enable analysts across business units and IT to share in the tasks that ensure that master data is being applied properly. Because MDM should involve collaboration across roles in the organization, Profisee include workflow so the right people can share and approve tasks. Our information optimization research finds that in 42 percent of organizations business and IT work together; this is essential because business users are most familiar with the data and its use in business processes and resulting outcomes.

Profisee Master Data Maestro also provides analytics that help users understand the state of data governance and track data processing to determine issues to be resolved. It supplies adapters to help integrate data to databases and applications from Microsoft, Oracle, Salesforce.com and many others. It also provides a developer’s kit to help design Web services and message-based interfaces needed for application and system integration. It also extends the use of Microsoft SQL Server and Master Data Services by providing broad support for data governance and MDM across an enterprise.

Our research confirms the growing number of data sources: A significant number of organizations that have more than 16 sources said it is very important to simplify information for business. This situation is creating increased pressure to improve vr_Info_Optimization_17_with_more_sources_easy_access_more_importantdata-related processes which MDM can help. Advances in so-called big data now enable organizations to take in huge volumes of data at rapid cycle times, and big data is an important technology in 41 percent of organization, according to our information optimization benchmark research. As big data becomes widely adopted, MDM becomes critical to ensure that data is used in the proper context. Our research finds that establishing master data has become a top concern in two-thirds of organizations. Profisee has expanded its support for big data environments including Hadoop, ensuring it can process data from various databases and platforms.

Another rising technology, cloud computing, also can benefit from MDM. Cloud deployment of applications and data increases the need to manage data outside the enterprise. Profisee recently announced MDM for Microsoft Azure Cloud, which enables Master Data Maestro to support Microsoft SQL Server Enterprise Edition and Microsoft Master Data Services in the company’s Azure cloud. Supporting cloud-based systems is nothing new for Profisee, which has developed several adapters such as it did in 2014 for Salesforce.com.

Addressing the need for quality and consistency of data is essential to business processes and decision-making that rely on business analytics. Profisee is contributing to this effort not only through its products but also through its range of services and industry models which help perform proof-of-concepts and establish a roadmap that will help ensure smooth adoption of MDM, avoid lengthy consulting engagements and save time and resources. Profisee is making MDM practical and easy to use, and its product does not require a large budget to get started and maintain data governance in small and midsize companies. If you are looking to improve your data governance process through MDM whether across the organization or within a line of business, Profisee is a supplier that you should examine closely.

Regards,

Mark Smith

CEO and Chief Research Officer

VentanaResearch_TechInnovation_Award_Winner_2013At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization.

Informatica’s Intelligent Data Platform is built in three layers. The bottom layer is Informatica Vibe, the virtual data machine that I covered at its launch last year. Informatica Vibe won our Ventana Research 2013 Technology Innovation Award for information optimization. It virtualizes information management technology to operate on any platform whether on-premises or in any form of cloud computing.

Above Informatica Vibe in the platform is a data infrastructure layer, which contains all the technologies that act upon data, from integration through archiving, masking, mastering, quality assurance, security, streaming and other tasks. At the core of this second layer is Informatica PowerCenter, which provides data integration and other capabilities central to processing of data into information. PowerCenter provides parsing, profiling, joining and filtering but also is integral for data services through Informatica’s Data Integration Hub that operates in a publish-and-subscribe model. The latest PowerCenter release, version 9.6, focuses on providing agility in development and provides a series of packaged editions that provide certain levels of functionality; users choose among them to fit their requirements. This developer support includes advances in test data management and data masking for enterprise-class needs. There are editions for Informatica Data Quality, too. The latest release of Informatica MDM, 9.7, improves the user experience for data stewards along with enhanced performance and governance. Not much was mentioned at the conference about Informatica’s Product Information Management (PIM) offering that our most recent Value Index vendor and product assessment rated Hot.

The third layer is data intelligence. Here Informatica has added capabilities to organize, infer and recommend action from data and to provision and map data to business needs. In addition Informatica’s Business Glossary and Metadata Manager help establish consistent definitions and use of data for operational or analytical tasks. Informatica RulePoint, a product that also was not mentioned much at the conference, processes events through workflow in a continuous rule based manner; depending on how processing occurs, its function is to support complex event processing or event streaming.

On top of the Intelligent Data Platform, Informatica has added a couple of new innovations. Project Springbok, which is not yet released, is a tool for preparation of data for analytics and operations through its Innovation division. This new product will use Informatica’s expertise in providing access to and integration of data sources, which according to our information optimization benchmark research is the top analyst requirement in 39 percent of organizations. Despite data warehouse efforts, analysts and business users still have to access many data sources. Simplifying information is critical for nearly all organizations that have more than 16 data sources. Demonstrations showed that Springbok can dynamically create and automate the transformations that run in PowerCenter. It also offers access to a master reference to ensure that data is processed in a consistent manner. IT professionals gain visibility into what business units are doing to show how they can help in provisioning data. Even in beta release Springbok has significant potential to address the range of data issues analysts face and reduce the time they spend on data-related tasks. Our research has shown for several years that this data challenge presses organizations to diversify the tools they use, and software vendors in this market have responded. Informatica will have to compete with more than a dozen others and demonstrate its superiority for integration. Our research finds that the lines of business and IT now share responsibility for information availability in 42 percent of organizations. Informatica will have to demonstrate its value to line of business analysts who are evaluating a new generation of tools for data and analytics.

A second innovation is a new data security product called Secure@Source, also being developed in the Innovation unit, is designed to protect data assets where they are stored and processed. This product moves Informatica into the information security market segment. Secure@Source helps users discover, detect, assess and protect data assets in their persistent locations and during consumption by applications or Internet services. The question is whether Informatica can convince current customers to examine it or will have to approach information security professionals who are not users of Informatica. Security of data is among the top five required data activities according to our research and a key part of the manageability requirements that organizations find important in considering products. Informatica has an opportunity to insert itself into the dialogue in this area if it properly presents the new product to IT and business people alike.

vr_Big_Data_Analytics_02_defining_big_data_analyticsIn big data Informatica has made steady progress, but to reach its potential in this segment will require more investments in the mixed big data environments, not just Hadoop. As our research has shown for three years, customers want big data to distribute processing and integration of data across sources. Our recent research on big data analytics finds that three out of four (76%) define big data analytics as being about accessing and analyzing all sources of data. This poses a challenge for data integration, and our new research on big data integration finds that most have a long way to go in accessibility and mastering of data. Informatica begins to address this and has an opportunity in helping develop a new generation of data architecture.

vr_NG_Finance_Analytics_09_too_much_time_to_prepare_dataIn cloud computing, the company has consolidated its efforts to ensure that the cloud is part of its core technology. It released new versions for its cloud-based integration, quality, master and real-time data management products; these begin to address the challenge of process and application integration, which are important considerations for businesses in determining whether integrate or replace point cloud solutions to improve efficiency of tasks and business processes. Informatica has continued to focus on integrating mostly with the large cloud computing providers and has yet to invest in streamlining processes in particular lines of business. This has left openings for other cloud integration providers to compete, making it harder than expected for Informatica to dominate in this segment. The next step here is up to Informatica.

I believe that one of the highest potential opportunities for Informatica is in the application architectures of organizations whose business processes have been distributed through a collection of cloud-based applications that lack interconnectivity and integration. For example, finance departments often have software from different providers for budgeting and planning, consolidation and reporting, accounting and payroll management. When these applications are spread across the cloud, connecting them is a real challenge, let alone trying to get information from sales force automation and customer service applications. The implications of this are shown in our finance analytics research : Data-related tasks consume the most time and impede the efficiency of financial processes as they do in all other line of business areas that we have researched. Similar situations exist in customer-related areas (marketing, sales and customer service) and employee management processes (recruiting, onboarding, performance, compensation and learning). Informatica has made progress with Informatica Cloud Extend for interconnecting tasks across applications, which can help streamline processes. While perhaps not obvious to data integration specialists, this level of process automation and integration is essential to the future of cloud computing. Informatica also announced it will offer master data management in the cloud; this should help it not just to place a data hub in the cloud but to help companies interoperate separate cloud applications more efficiently.

Overall the Informatica Intelligent Data Platform is a good reference model for tasks related to turning data into information assets. But it could be much distinct in how its automation accelerates the processing of data faster and helps specific roles work faster and smarter. This platform does not provide a context for enterprise architectures that are stretched between on-premises and various cloud deployments. Organizations will have to determine whether Informatica’s approach fits their future data and architectural needs. As Informatica pushes its platform approach, it has to ensure it is seen as a leader in big data integration, helping business analysts with data, supporting a larger number of application sources and connecting cloud computing through unifying business applications. This won’t be easy to accomplish as Informatica has not been as progressive in the broader approach to big data and use across operations and analytics.

VR_leadershipwinnerInformatica has been growing substantially and is getting close to US$1 billion in annual software revenue. We have recognized its success through rating it a Hot vendor in our Data Integration Value Index and naming one of its customers, the CIO of UMass Memorial Health Care, the Chief Information Officer in our 2013 Leadership Awards. Informatica has been continuing substantial investment in R&D. Its acquisitions of data-related software companies have helped it grow, and Informatica has invested to integrate the products with PowerCenter. With almost half (49%) of organizations planning to change their information availability processes, the opportunity for Informatica is significant; its challenge is to gain the confidence and recognition by business customers, who now play a larger role in the selection and purchasing of software. This will require Informatica to speak their language of business and not just technology but the business processes that they are held accountable. Informatica is a major player in information management; now it must become as significant a choice for streamlining business processes and use of applications and data across the enterprise and cloud computing to enable information optimization.

Regards,

Mark Smith

CEO & Chief Research Officer

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