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  • Leveraging Data, Improving Lives

    Government health and human services agencies are turning to emerging technology to tame an old foe: poor data management. The problem exists as data silos, unstructured data and inadequate sharing of data across programs. Eager to transform delivery of social programs that serve the most vulnerable, at-risk communities, agencies are taking steps to better manage data as a means of improving the delivery of social programs. To that end, many of them are turning to robust technologies such as modularity, platform as a service, hybrid cloud and artificial intelligence, harnessing the value embedded in data and squeezing out programmatic inefficiency.

  • Using Data Analytics to Prevent & Detect Fraud

    The sophistication and complexity of fraud schemes continue to grow and outclass conventional anti-fraud measures. Fraudsters, or people who commit corporate fraud, whether employed internally or externally, continue to develop new strategies to defraud organizations.

  • 7 Essential Finance Dashboard Strategies

    Great finance dashboards have the power to make a huge impact within every business. As someone who provides critical reporting that impacts and informs your business’s key decision-making, it’s crucial that the analysis and reporting you provide is carefully crafted to meet the needs of your business users, regardless of their level of data literacy.

  • Using Open Data to Improve Financial Accountability in Public Sector

    For years, federal, state, and local governments, along with educational institutions, have heard the call to be more transparent and accountable by making data available for public consumption. Even before the “Digital Revolution,” taxpayers and the media wanted to know how public money was spent—and if citizens were getting a good return on investment. Those expectations rose with the proliferation of public-facing websites.

  • Tableau Advances the Era of Smart Analytics

    The next breakthroughs in business intelligence (BI) and analytics will see machine learning and artificial intelligence used to improve data access and data quality, uncover previously hidden insights, suggest analyses, deliver predictive analytics and suggest actions. What’s more, natural language (NL) interfaces will make it easier for business users without knowledge of data science or query languages to explore information, gain insights and make better, data-driven decisions.

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