Informatica Navigates Carefully to Broader Data Management

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.

First, Informatica sharpened its focus on master data management (MDM) through a set of new applications announced in September of this year []. Along with version 10.1 of the Informatica MDM platform, it announced Customer 360, Supplier 360 and Cloud Customer 360 for Salesforce, which join the already available Product 360. The “360” moniker indicates its positioning that the applications can collect data from any interaction or system and thus provide a 360-degree view to support these applications. I hope this focus will guide its advances in integration and processing of data within the lines of business. Some of these areas are complicated; for example, Customer requires getting interaction data from contact center systems such as those of Genesys, NICE Systems, Verint and others. Previously this has not been a priority of Informatica, but it is required to get a true 360-degree view of customers. This is confirmed in our next-generation customer engagement benchmark research, vr_NGCE_15_supporting_multiple_channels.pngwhich finds that organizations support as many as 17 channels of interaction and that the most often reported issue in supporting multiple channels is difficulty in integrating systems.

Release dates vary for these new 360 applications, as do their capabilities to support mastering and integration of data. Product 360 is available now, and it earned Informatica a Hot Vendor in our 2015 Value Index on Product Information Management. It has advanced support for integration through templates that work with e-commerce products including Demandware, IBM WebSphere Commerce and Oracle ATG and can monitor data for competitive product and pricing changes. In 2014 we selected Informatica customer Geiger as the Leadership Award Winner in Overall Information Technology. At this point, however, with the expanding set of MDM applications and altered priorities after the acquisition, we cannot know to what extent Informatica will maintain its investment in and development priorities for Product 360; this will be worth watching as a gauge of the company’s focus going forward.

In another area Informatica recently announced new capabilities in its support for cloud computing. It appears to be focused on supporting its partner salesforce.com, and particularly the need for lines of business to interchange data in and out of its environments, integration with Salesforce Wave Analytics and the new Salesforce IoT Cloud for the Internet of Things. Informatica as well has advanced its ability to ensure data privacy through Informatica Cloud Test Data Management.

In recent public conversations with me at Informatica World, top company executives showed a lack of support and knowledge of the ecosystems of business applications in the cloud from major providers including Infor, Oracle, SAP and others that have experienced significant growth in customers adopting and deploying their applications.  Though two of these three top level Informatica executives are no longer with the company. It seems to be placing a strategic bet on aligning mostly with salesforce.com; here again only time will tell how well these narrow objectives compare to those of companies that have a more diverse approach to business applications in the cloud. On the other hand, Informatica has released more prebuilt connectors for cloud systems, mostly focused on marketing such as from Eloqua, MailChimp and Salesforce Marketing Cloud (formerly ExactTarget).

Informatica has progressed in integration with analytics tools as already pointed out with Salesforce Wave Analytics; it also demonstrated integration with Domo’s business data integration product at Informatica World. Our analysis is that in each of the lines of business Informatica has greater potential if it focuses on business use of cloud-based applications. Our data and analytics in the cloud research finds that the top external data source priority in three out of five (61%) organizations is business applications.

Informatica’s most important recent announcement is the release of Informatica v10, which is the foundation of its products not just for data integration but for data management overall. With this new version, the packaging options have shifted to a choice of Premium, Advanced and Standard editions to suit the needs and budgets of organizations. The highest level, Premium, includes data validation, monitoring and sophisticated data transformation; the midrange Advanced edition has increased capabilities in scaling, metadata and glossary as well as a real-time option. V10 of Data Quality has advanced profiling with visualizations, workflow and voting for feedback, and has improved its rules, monitoring and matching capabilities along with better administration through partitioning, versioning and parameterization. All of these are essential for enterprise-class processing of data quality processes. V10 of Data Integration Hub supports publish and subscribe interactions, management for cloud and on-premises systems, secure FTP and Hadoop for storage and indexing.

On yet another front Informatica has advanced its big data management technologies, taking a comprehensive approach that is more than big data integration and supports data quality and governance and also security of data in Hadoop deployments. Our research in 2014 on big data integrationvr_BDI_03_plans_for_big_data_technology identified issues in these areas that create difficulty and increase costs in using Hadoop, which our research found is at the top of the list for plans in adopting big data technology.  Informatica’s new release supports dynamic mapping and smarter execution of jobs in Hadoop environments and adds Live Data Map, a metadata catalog for data assets. In addition Informatica has created Blaze, a big data environment that runs in-memory and utilizes YARN and Apache Spark to optimize computation and processing of data. The most valuable element I believe is that design and development can be done in one computing environment but deployment can be done in a range of execution systems including Hadoop. Flexibility in a distributed data architecture is critical for any enterprise deployment that spans on-premises and cloud environments.

I see significant potential in Informatica Secure@Source, which addresses data security. Informatica has been advancing security across its products from monitoring to masking, but its focus on data security with this product has real promise. It earned a VR2015_InnovationAwardWinnerVentana Research Technology Innovation Award for Overall Information Technology in 2015. This product aims to ensure appropriate levels of discovery in data assets through notifications, analytics and visualization – capabilities in which IT management should invest. Hopefully Informatica will continue to invest in data security as its initial improvements appear to be heading in the right direction.

I have been involved in the database industry for three decades, from being a database architect to helping launch the data warehouse and OLAP markets and now analyzing the market for 15 years, and I am impressed by Informatica’s efforts to help IT organizations manage diverse database portfolios. Informatica finally has moved beyond integration alone to management, which is a simple-seeming but critical shift to take advantage of what its product portfolio actually does and provide what its customers expect. Informatica continues to expand the range of data management challenges it addresses for IT and now lines of business. In data preparation its Informatica Rev product has promise but will need better marketing and sales to analysts and operations teams which so far are adopting this type of product from other providers.

Looking to the near future, Informatica has an opportunity to position itself and further unify its products for supporting IoT, which includes streams and processing of events for a wide range of operational and analytical needs. It has demonstrated how it can process log data and parse data for Amazon technologies and has depth in its near-real-time, zero-latency Ultra Messaging products. Expanding into this set of data processing requirements is natural for Informatica with its range of processing and management tools.

Technologically Informatica is poised to meetvr_DAC_08_types_of_data_integration_processes the diversity of data integration process needs that operate across on-premises and cloud computing in just about any configuration today. Our data and analytics in the cloud research identifies the growth in exchange of data between cloud systems and with on-premises ones, which more than half of organizations said they will increase into 2017. Stepping up its commitment to data management is a subtle but critical shift for Informatica. While it will be under more management scrutiny on its priorities and its contribution to financial growth to meet its new owners’ expectations, those owners will need to realize that investment is still required not just to innovate but also to help its customers succeed while hopefully exceeding expected profit margins.

I expect people coming into and leaving the organization throughout 2016 as employees determineVR2015_LeadershipAwardWinner whether the new Informatica is right for them. But Informatica has a vocal set of customers that appreciate its technology; as a case in point, we selected its customer CIT Group and BJ Fesq our 2015 Overall Information Technology Leader Award. Its move to a subscription pricing model for its on-premises software from the past license and maintenance approach should bind customers to it more tightly for them to be able to readily gain access to the latest capabilities; this is a wise step that is occurring widely across the software industry. As organizations consider how best to manage and use data assets located in any application or system, Informatica remains a vendor to have on the short list of those that can fit the organization’s needs for managing and processing data assets.

Regards,

Mark Smith

CEO and Chief Research Officer

Profisee Simplifies Master Data Management

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