Data Applications

Enable business users to explore and investigate data in-motion for critical decision making

Imply provides the engine to build data applications that let business users explore and investigate all of a company’s data and come to insights that impact operational and strategic decision making.

They can be used to analyze business activity across a wide range of functions:

What are data applications?

Data applications are a new concept, differing from BI and AI in the use cases they serve.

Data applications facilitate data investigation and data exploration. Data investigation occurs in reaction to a specific event or anomaly. The user combines the event data with other data sources and historical data to identify the root cause and take action. This leads to hundreds to thousands of small insights that make a big difference in aggregate.

How is this different than BI or AI?

They differ from static BI reports as they offer ad hoc interaction through an intuitive interface tailored to the specific use case. They also differ from automated ML-driven analytics as they are designed for the “human in the loop” as opposed to automated decision-making. This makes them perfect for analysis that requires a blend of data and intuition.

Imply also provides a solution for Business Intelligence

The pinnacle of analytics-in-motion: Data exploration

Data exploration is proactive, with the user combining their business intuition and intellectual creativity with data to get insights. It occurs as a series of unplanned iterative queries based on a nascent hypothesis or just pure curiosity. Data exploration is where impactful ‘a-ha” moments occur.

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Imply is purpose-built for building data applications

Imply is built specifically to enable data applications by consistently serving sub-second responses to ad hoc analytics queries across large data sets, with real-time data, and supporting high query concurrency.

The Imply analytics engine is a multi-cloud, scalable database that:

  • Takes in data from anywhere, batch and streaming.
  • Builds a hyper-optimized copy of the data.
  • Delivers consistent sub-second query response through a visual UI to support data applications.

Get started with Imply for
Data Applications

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