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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

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PODCAST: Unlocking the Value of AI in Supply Chain

bridgei2i

The 80s saw workflows being operationalized, and by the 90s, the advent of planning systems and demand forecasting systems had caused many advancements. The 2000s saw data warehouses being created and used as business intelligence picked up.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America.

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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO Business Intelligence

The solutions, some in pilot stage and others in early development, transcend a variety of core industries, including manufacturing, financial services, healthcare, and transportation. Working with AWS and IBM, United created and scaled a data warehouse using Amazon Redshift, an off-the-shelf service that manages terabytes of data with ease.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Those who work in the field of data science are known as data scientists. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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PepsiCo transforms for the digital era

CIO Business Intelligence

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.”