1. Printing: This poster is 48” wide by 36” high. It’s designed to be printed on a large-format printer. Customizing the Content: The placeholders in this poster are formatted for you. Type in the placeholders to add text, or click an icon to add a table, chart, SmartArt graphic, picture or multimedia file. To add or remove bullet points from text, just click the Bullets button on the Home tab. If you need more placeholders for titles, content or body text, just make a copy of what you need and drag it into place. PowerPoint’s Smart Guides will help you align it with everything else. Want to use your own pictures instead of ours? No problem! Just right-click a picture and choose Change Picture. Maintain the proportion of pictures as you resize by dragging a corner. “Support[ing] our mission from the heart to the wallet”: Values underlying Business Intelligence Nitya Verma, Amy Voida INTRODUCTION As business intelligence and data analytics become a more prominent part of organizational processes across a more diverse range of organizations, we want to understand how the values embodied by business intelligence systems do or do not mirror the values of different organizational cultures. We have partnered with a local nonprofit organization to understand what values are most important in the process of becoming more data driven and to examine the extent to which BI tools do or do not support those values. BACKGROUND 97% of companies exceeding $100 million dollars in revenue use business analytics (Bloomberg Businessweek, 2011) Business intelligence and data analytics can provide organizations: Competitive advantages Decision support More efficiency (Watson & Wixom, 2007) The use of big data is associated with certain values of accuracy, objectivity and efficiency. However, there is bias and subjectivity implicated in the use of all data that must be considered (boyd & Crawford, 2012). OBJECTIVES To explore what values are associated with a data driven organizational culture To examine the values that are embodied by existing data analysis and BI tools. To understand the ways in which these values influence or are influenced by the use of BI tools METHODS Longitudinal field study in a nonprofit organization 17 interviewees; mostly mid- and upper- level management who use BI tools; Semi-structured interviews (about an hour long) covering the following: Nature of participant’s work and role in organization Ways they used and analyzed different data sources Data in relation to the mission of the organization Nature of constraints and benefits related to data Inductive, grounded theoretical analysis Data analytics consists of two distinct, but often over lapping phases: getting data in and out (Watson & Wixom, 2007). INITIAL RESULTS REFERENCES 1.Bloomberg Businessweek. (2011). The current state of business analytics: Where do we go from here? Bloomberg Businessweek Research Services (http:www.sas.com/resouces/ asset/busanalyticsstudy_wp­_08232011.pdf) 2.boyd, d. and Crawford, K. (2012). Critical Questions for Big Data. Information, Communication & Society, 15(5), pp.662–679. 3.Watson, H.J. & Wixom, B.H. (2007, September). The current state of business intelligence. IEEE Computer, 96–99. NEXT STEPS Our initial findings suggest that participants associate a broader set of values with a data-driven culture and the use of BI than are embodied in the current suite of tools: The diversity of values that we have identified suggests several next steps: Comparing and contrasting if and how values differ across the different divisions of the organization. Understanding the impact of the mismatch organizational values and values embodied by the technology. Exploring design opportunities for information management and analytics tools to support a broader diversity of organizational values.