5 Steps to Wrangle Uncontrolled Data Flow

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Step 4: Outsource Where Possible

The end goal of all data operations is to uncover insights that drive revenue. But all too often, organizations divide their resources among all facets of the undertaking — including the more mundane operations of integration and data storage. At a time when the cloud is proving to be a superior delivery method for technology and infrastructure, and more IT functions than ever are being delivered as managed services (e.g., network monitoring, backup operations, email), there's no need to reinvent the wheel. Leverage what other experts have to offer so that your experts are given the breathing room to take your organization to new heights.

Data is everywhere. Close inspection of a runner's shoes, a dog's collar, a prescription bottle, or even a keg of beer could reveal a flow of hidden data. And if your local pub isn't analyzing beer consumption through connected kegs today, it likely will be tomorrow. Analysts predict that the Internet of Things (IoT) will grow to encompass as many as 200 billion connected devices by 2020.

Couple the exploding IoT with other exploding data sources such as specialized cloud applications, social media feeds and mobile devices, and it's clear that there is no shortage of data for businesses to mine. Unfortunately, just as businesses have more data than ever to monetize, the data itself is becoming increasingly uncooperative as it ramps up in volume, variety and velocity — with no end in sight.

As the availability of data exponentially increases, unprecedented opportunities exist to do all kinds of amazing things: monitor illegal deforestation, improve population health, reduce traffic jams — and, yes, sell more beer. But with these unprecedented opportunities come unprecedented data wrangling challenges.

So how do you turn opportunity into insight? In this slideshow, Rob Consoli, senior vice president of sales and marketing, North America at Liaison Technologies, has compiled five tips on how to wrangle uncontrolled data flow in your enterprise.

 

Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

 
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