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        Ventana Research Analyst Perspectives

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        Wiiisdom Automates Analytics Operations for Trusted Analyses

        Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it. Factors such as new data, changes in the underlying systems or updates to algorithms can all contribute to differences in an analysis. AnalyticOps helps ensure data is accurate, up-to-date and consistent across different systems and teams, and that analytical models are robust, reliable and continuously improved.

        Scaling analytics operations and accommodating a growing number of users and systems creates complex processes that are time-consuming if performed with manual techniques. VR_Analytics_2023_Coverage_LogoWiiisdom provides analytics governance software that enables organizations to automate analytics operations. Our Data Governance Benchmark Research found that 95% of participants consider it important to govern analytics and business intelligence analyses, yet only 52% do so.

        Wiiisdom was founded in 2007 and was initially built around SAP BusinessObjects to limit data quality risk and optimize SAP business intelligence platform management. The company now positions its services in the data analytics quality market. Wiiisdom acquired Kinesis-CI (now Wiiisdom Ops) two years ago to extend its capabilities and support for multiple BI tools and platforms. This enabled Wiiisdom to enter the Tableau market. Wiiisdom Ops is its no-code testing automation software to centralize and automate test cases from a unified user interface and share the results with dataVentana_Research_BR_Data_Governance_Q17_Data_Governance_Importance consumers and decision-makers. It allows Tableau and Power BI teams to ensure the quality of their dashboards with continuous verification and identify problems such as data issues, performance slowdowns and malfunctions of certain features. Wiiisdom Ops enables organizations to integrate various other apps too, including Snowflake, Microsoft Azure and SAP BusinessObjects.

        Wiiisdom 360Suite is a set of data analytics governance tools that ensure the quality, reliability, performance and efficiency of SAP BusinessObjects environments and SAP Data Services. It enables users to automate daily operation and mitigate risks. Wiiisdom also offers an embedded analytics capability to incorporate into the continuous integration and continuous delivery pipeline. It can reduce the operational costs of testing and deploying analytics by automating the operations. One area where Wiiisdom should continue investing is in more integrations with BI and data operations vendors to broaden the value it provides to its customers.

        My colleague Matt Aslett asserts that through 2026, data governance functionality will continue to be a significant priority for data platform vendors to enable self-service data discovery, analytics and greater business Ventana_Research_2023_Assertion_DataGov_Self-Service_Analytics_32_Sagility. With AnalyticsOps, IT teams can maintain and secure a stable infrastructure. Data teams can work in an agile environment where their preferred tools are up-to-date and meet the requirements of the business. And C-level and line-of-business users rely on AnalyticsOps to mitigate risks and enable a governed self-service culture.

        Organizations that are looking for a data governance software to automate analytics operations should evaluate Wiiisdom. By automating analytics, BI and governance processes, organizations can potentially reduce total cost of ownership and increase efficiency, revenue and competitiveness.


        David Menninger


        David Menninger
        Executive Director, Technology Research

        David Menninger leads technology software research and advisory for Ventana Research, now part of ISG. Building on over three decades of enterprise software leadership experience, he guides the team responsible for a wide range of technology-focused data and analytics topics, including AI for IT and AI-infused software.


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