Enabling the Third Wave of Analytics: Embedded BI Takes Center Stage

Today’s data-savvy companies actively seek ways to enhance their approach to analytics and evolve out of the past.  While the first wave of BI involved static, rigid, IT-owned systems, and the second expanded the capabilities to a more business-facing analyst set, the third wave aims to infuse analytical activity into multiple layers of non-technical business roles.  As a key strategy to enable this third wave, companies today are exploring an embedded approach that places analytical activity directly in the context of everyday user applications, and the independent software vendors (ISVs) and enterprises providing those applications have taken notice of this trend.  Done efficiently, embedded analytics promotes faster deployment and pervasive usage of analytics for end-users while delivering a competitive advantage and the opportunity for new revenue streams for software vendors and enterprises.
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

Optimizing Your Data Analytics Resourcing

Join us for a focused discussion on Data Analytics with health system data analytics leaders. We discuss the decisions, benefits and challenges organizations face when determining how to structure and manage data assets, tools and teams. We’re excited to share diverse perspectives and answer audience questions.
Watch Now

Why BI Programs Fail to Scale: The Data Decision Gap

The global investment in digital transformation estimated to exceed $10 trillion over the next five years. Despite the tremendous resources going towards this cause, studies show that up to 70% of these initiatives will not achieve their stated goal. What does it take to win?
Watch Now

How to Use data.world to Solve for Common Data Engineering Use Cases

When evaluating a data catalog, every data engineer wants to know one thing: “What’s in it for me?” In this live demo, Mo Dodge answers that question and highlights several high-value use cases data.world solves for:
Watch Now

How to Strengthen Enterprise Data Governance with Data Quality

DATAVERSITY

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
Watch Now