Navigating uncertainty: the state of data and analytics in 2027

Analytics is a major operational function that requires substantial people, time, and budget investments. With the proliferation of AI, organizations balance efficiency with uncertainty. While AI helps speed up processes, it comes with its fair share of challenges. Can you trust AI outputs? Does AI compromise data privacy?

To better understand the mindset of data teams as they navigate AI-powered data and embedded analytics challenges, Simba partnered with Hanover Research to survey 325 data decision-makers across the globe. Participants include both independent software vendors (ISVs) and enterprise organizations.

In this report, we explore the challenges data teams face today, how they’re implementing AI, and the current state of embedded analytics.

Read the report to learn:

• Market pressures facing data and analytics teams

• Top data and analytics trends of the next five years

• How data leaders implement AI and roadblocks to trust

• Why data teams choose to build or buy analytics

• Embedded analytics benefits and challenges