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How To Build a Data Strategy Pt. I – Your Ticket to Success

Dataconomy

I am sure you’ve come across many 2016 statistics on Data and Analytics as I have. I’d like to use couple of statistics from IDG’s Enterprise 2016 Data & Analytics Research to start this article. As per their research, 78% of enterprises agree that data strategy, collection & analysis of big.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. This will provision the backend infrastructure and services that the sales analytics application will rely on. You’ll use this file when setting up your function to query sales data.

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6 Valuable Business Intelligence Lessons From Brexit

Smart Data Collective

For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. Whether you work in government or own your own business, you can take a lot of practical tips from how Brexit is unfolding. The vote was incredibly divisive.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Embedded Analytics: Should you build or buy?

Tableau

Product Marketing Manager, Embedded Analytics, Tableau. Embedding analytics is a way we can help our customers make smarter decisions and achieve greater success. When creating an embedded analytics offering, the biggest decision is whether to build an in-house solution or purchase a turnkey solution. . Clayron “Cj” Pace.

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3 ways BI is changing the game for fintech

Dataconomy

A KPMG analysis saw investments decline in 2016 and investors are now more cautious about betting on segments that are becoming saturated. Fintech is becoming an increasingly competitive market. Lending and payments are two segments that saw increased participation over the past two years. Competitors come in all forms.

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What Is a Citizen Data Scientist and How Has the Role Changed?

The Data Administration Newsletter

The world-renowned technology research firm Gartner first introduced the concept of the citizen data scientist in 2016. Gartner defines a citizen data scientist as a person who creates or generates models that leverage predictive or prescriptive analytics, but […]