Remove Budget Remove Business Intelligence Remove Data Engineering
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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

These environments often consist of multiple disconnected systems, each managing distinct functions policy administration, claims processing, billing and customer relationship management all generating exponentially growing data as businesses scale. data lake for exploration, data warehouse for BI, separate ML platforms).

Insurance 164
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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fleschut says he will also hire more IT personnel this year, especially data scientists, architects, and security and risk professionals.

Budget 218
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When is data too clean to be useful for enterprise AI?

CIO

You can’t treat data cleaning as a one-size-fits-all way to get data that’ll be suitable for every purpose, and the traditional ‘single version of the truth’ that’s been a goal of business intelligence is effectively a biased data set. There’s no such thing as ‘clean data,’” says Carlsson.

Data 211
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Who is Business Intelligence Developer: Role Description, Responsibilities, and Skills

Altexsoft

Marketing numbers, human resources, company budgeting, sales volumes — you name it. The number of business domains the data comes from can be large. But, as a business, you might be interested in extracting value of this information instead of just collecting it. Who is a business intelligence developer?

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Falkon closes $16M round to automate sales workflows and analyses

TechCrunch

. “Our thesis was that while companies collect mountains of data, the return on investment on it remains low because it’s predominantly used in dashboards and reporting, not daily actions and automation,” Akmal told TechCrunch in an email interview. These people are in high demand and there aren’t enough to go around.

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3 promises every CIO should keep in 2025

CIO

They couldnt hire people from outside either, because they hadnt anticipated the need early enough to put it in their budgets. Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says. Everything happened very fast.

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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

Data Enrichment – data pipeline processing, aggregation and management to ready the data for further analysis. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). Building a Pipeline Using Cloudera Data Engineering. Conclusion.

Data 118