Bridging the last mile to business intelligence and big data

Marius Moscovici

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Push Intelligence vs. Business Intelligence

How is Push Intelligence Different to Business Intelligence (BI)?

A decade or two ago, the average BI expert had less data to work with on a less frequent basis. In-house data warehouses stored a finite amount of structured data, which was crunched on a monthly basis and delivered to users across the business.

With everything from smartphones to industrial sensors spewing both structured and unstructured data, no one can keep up, let alone get ahead of the barrage of data. BI has become a reactive job, instead of an exploratory one. At the end of the day, the average BI employee simply reacts to requests, making more and more dashboards in hopes of zeroing in on what business users might ask next.

The reality is that data has become too big and too frequent for humans to make sense of. Every organization aspires to be metrics driven, but it requires machines to do the heavy lifting to determine what’s important.

3 Key Differences Between Push Intelligence & BI

Push Intelligence builds on an organization’s existing investments in data and Business Intelligence, but uses a fundamentally different architecture and approach to delivering insights. It automatically analyzes every detailed metric within an organization to determine which are important now, why they are important, and who needs to know about them.

There are 3 major components to Push Intelligence that make it different to the dashboard and report approach.

#1 Change

BI tools focus on the values for metrics — what was Sales in California today? Push Intelligence snapshots metric values over time and applies algorithms to the data to analyze how values are changing. It does this automatically for every dimensional value, of every metric.

#2 Relevance

BI tools display all the metrics all the time, via dashboards and reports. Push Intelligence analyzes how metrics are changing to determine which are relevant and actionable now, and bubbles them up to the surface.

#3 Distribution

BI tools rely on users to pull the information they need, when they need it. Push Intelligence determines who needs to know about the relevant changes in metrics, when they need to know, and where.  It uses a distribution engine that tells users only the information that they need to know about, at the relevant frequency, and on the right device.

Business Intelligence tools provide analysts with a powerful platform for performing data discovery. The power of Push Intelligence is required to ensure you are not missing critical events in your data, by enabling users to focus on what’s important and become metrics-driven.

Download a detailed whitepaper on Push Intelligence and the New Path to Insights.

The post Push Intelligence vs. Business Intelligence appeared first on Metric Insights.

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Marius Moscovici is the founder and CEO of Metric Insights (http://www.metricinsights.com/). He founded the company in 2010 with the goal of transforming the way business intelligence is performed so that organizations of any size can quickly and easily deploy powerful analytics. Marius has over 20 years of experience in analytics and data warehousing and was previously the co-founder and CEO of Integral Results, a leading business intelligence consulting company that was acquired by Idea Integration. Marius also formed and led the data warehousing and real-time analytics group at Linden Lab, the creators of Second Life.