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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 Until now, they were proactively involved to maximize IT efficiencies and accelerate cost savings in general.

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The Business Case for DataOps

DataKitchen

As data professionals, we know the value and impact of DataOps: streamlining analytics workflows, reducing errors, and improving data operations transparency. Being able to quantify the value and impact helps leadership understand the return on past investments and supports alignment with future enterprise DataOps transformation initiatives.

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The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO Business Intelligence

NOV, a technology-driven solutions supplier serving the global energy industry, wanted to reduce costs, improve security, and make life easier for its 32,000 users and IT administrators across 62 countries. A large enterprise with a hybrid network requires modern technology to secure it.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

We can also increase effectiveness of preventative maintenance — or move to predictive maintenance — of equipment, reducing the cost of downtime without wasting any value from healthy equipment. With this, we can reduce customer churn and overall network operational costs. Kudu has this covered.

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Consider the Benefits of Augmented Analytics

Smarten

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data. trillion gigabytes!