Self-Service Data Accessibility and Quality for Business Analytics

Self-service analytics tools enable today’s knowledge workers to swiftly drill through vast amounts of actionable intelligence. At TDWI, we define self-service as solutions that enable many types of nontechnical users to be productive because the tools are easier to use, do not require coding, and do not require IT to set up all data access, queries, visualizations, and preparation. Visual, collaborative development of business analytics by teams of knowledge workers has become standard practice. User productivity is expanding as next-generation self-service data analytics tools accelerate data accessibility, collection, cleaning, modeling, forecasting, and what-if analysis. Join us to hear James Kobielus, TDWI senior research director for data management, and insightsoftware’s Dylan Chapman explore the power of a new generation of self-service data analytics, modeling, and planning tools. The program will include a demonstration of insightsoftware’s solution. Kobielus and Chapman will discuss:

• How to analyze, model, and do what-if scenario planning within a self-service filtered interface without exporting data to spreadsheets

• The benefits of self-service visual tools that enable business users to unify data access, analysis, planning, modeling, mastering, and enrichment

• How to streamline data accessibility, collection, assembly, quality, and approval to support high-impact planning, scenario generation, and decision-making

• How to connect decision-makers within your organization to share, analyze, and collaborate around enterprise data with ease, security, and confidence