Welcome back -

Services for Organizations

Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection

Consulting & Strategy Sessions

Ventana On Demand

    Services for Investment Firms

    We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.

    Consulting & Strategy Sessions

    Ventana On Demand

      Services for Technology Vendors

      We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.

      Analyst Relations

      Demand Generation

      Product Marketing

      Market Coverage

      Request a Briefing

        David Menninger's Analyst Perspectives

        << Back to Blog Index

        Working Across the Aisle in Analytics: Involving IT and LOB

        For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups. And, by looking at how organizations are operating today and the results they are achieving, we can discern some of the best practices for improving the outcomes of analytics and data processes.

        Let’s start with some of the disconnects. The IT function generally has a slightly rosier picture of the state of analytics technologies than the line-of-business function. For example, 45% of IT participants responded that their reporting technology was completely adequate while onlyVentana_Research_Benchmark_Research_Analytics_14_IT_v_LOB_View 36% of line-of-business participants did. Similarly, 31% of IT reported that its interactive visualization technology was completely adequate while only 23% of line of business did. IT also had a slightly better opinion of the dashboard and ad hoc query technologies. The same is true for most of the data technologies, with data preparation and data integration showing some of the biggest differences of opinion.

        IT also exhibits more confidence in its ability to analyze large volumes of data and high-velocity data. Two-thirds (66%) of IT participants reported they are confident in their organization’s ability to analyze large volumes of data while 57% of line-of-business participants reported they are confident. When it comes to analyzing data arriving at high velocity, the numbers are 56% compared with 46%, respectively.

        Let’s turn our attention to the roles of each of these functions in analytics and data processes. There are a wide variety of ways in which organizations assign responsibility for designing and deploying analytics and data. The most common is to a cross-functional team whichVentana_Research_Benchmark_Research_Analytics_15_Analytics_Lead occurs in 3 in ten organizations. In one-quarter of organizations, line-of-business analysts lead the effort, and in 1 in 5 organizations (21%), a team of business intelligence and data warehousing (BI/DW) specialists from within IT leads the effort.

        In most cases, the participants in our research prepared analytics and data for others or architected solutions for others. Only 3 in ten were in a line-of-business function and prepared their own analyses. We can’t necessarily conclude that most organizations prepare their analytics this way but coupled with the fact that analytics are still not used by the majority of the workforce in three-quarters (76%) of organizations, it seems like a reasonable assumption.

        As we look at which efforts, by whom, are correlated with success, it appears that the more involved BI/DW specialist teams are, the more successful the outcomes. Further, it appears that cross-functional teams offer the next best results. Whereas efforts led by line-of-business analysts and other IT functions have less successful outcomes. Two of the measures we look at as broad indicators of success are satisfaction with, and confidence in, analytics. When BI/DWVentana_Research_Benchmark_Research_Analytics_16_Results_v_Analytics_Lead teams lead analytics and data design and deployment, their organizations report 86% satisfaction rates. Analytics efforts led by cross-functional teams report the next highest rates of satisfaction at 78%, followed by line-of-business analysts at 70% and other IT functions at 60%. We see similar results in the confidence organizations report about their ability to analyze data.

        As you consider best practices for designing and deploying analytics, don’t undervalue the role that IT can play. As I have written previously, analytics need to become much easier to use. Until they do, having technically trained and knowledgeable resources involved in analytics and data efforts appears to be a common thread among those organizations that are achieving the most success. In particular, if you don’t already have a BI/DW center of excellence or competency center, you should consider establishing one. At a minimum, you should consider a cross-functional team to lead analytics and data efforts to ensure your organization has the knowledge it needs to succeed.


        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.


        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

        View Policy

        Subscribe to Email Updates

        Posts by Month

        see all

        Posts by Topic

        see all

        Analyst Perspectives Archive

        See All