Remove Data Analytics Remove Data Quality Remove Internet of Things Remove IoT
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8 data strategy mistakes to avoid

CIO Business Intelligence

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Creating data silos Denying business users access to information because of data silos has been a problem for years.

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How data teams move from offense to defense in 2023

CIO Business Intelligence

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 Every data professional knows that ensuring data quality is vital to producing usable query results.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies.

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The 6 Layers of an IoT Solution

CDW Research Hub

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. However, building an IoT solution requires thought into six distinct layers, each with its own considerations and security implications. So, what are the six layers of IoT? Layer 1: IoT devices.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. With AI infused throughout, the industry is moving towards a place where data analytics is far less biased, and where citizen data scientists will have greater power and agility to accomplish more in less time.