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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting. Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts.

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Data traction: Is your company a “data thriver” or just a “survivor”?

CIO Business Intelligence

The losers will stick to the status quo , opting for the old way of doing things to avoid risking a perceived small loss from making an investment in better data and systems. Instead of opting for risking a ‘possible’ gain by investing in change and the value of data. Achieving data traction.

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Top five data integration objectives when you do M&A in Gaming / iGaming

BizAcuity

Maybe you notice a spike in daily active users and want to explore the impact on the company; customer analytics helps you understand the dynamics behind this trend and they even help you build on finding common threads between players, their behavior, and revenue. . Enhances Player Retention. Reducing Licensing Cost.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

David Stodder , Senior Director, Research for Business Intelligence, TDWI. Manjeet Rege , Ph.D., Associate Professor, Graduate Programs in Software, University of St. Thomas, @ManjeetRege. Ronald Schmelzer , Managing Partner and Principal Analyst, Cognilytica. Kar Leong Tew , Research Manager, IDC, @KarLeongTew.

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Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb!

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Mindshare Integrates Predictive Analytics to Deliver Performance Marketing at Scale

DataRobot Blog

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. AI in Customer Analytics: Tapping Your Data for Success. An example of this in action is one of our global clients, where we manage sales risk across their product portfolio.

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3 Ways Embedded Analytics Boosts Data Literacy

Jet Global

Predictive analytics use an organization’s historical data to find patterns and predict future outcomes, putting users in a strategic position to make better business decisions. Your users will be able to confidently look forwards and build their data literacy skills across future-facing data sets, not just historical analysis.