Remove Business Intelligence Remove Data Engineering Remove Research Remove Strategy
article thumbnail

Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

article thumbnail

5 tips for excelling at self-service analytics

CIO

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. Here are some tips for IT leaders looking to make good on the promise of self-service analytics strategies.

Analytics 342
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Most Popular Big Data and Data Science Development Services

KitelyTech

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

article thumbnail

Achieving Business Analytics Success

Datavail

Organizations are now devising digital analytics algorithms to inform their future strategies as well as keep them apprised of day-to-day activities. Those that also apply directives from their data to operationalize their systems will be at the forefront of their industry. The Significance of Strategy.

article thumbnail

Best Sales Intelligence Software

Strategy Driven

Data collected by sales intelligence software is used to discover opportunities and inform reps of important insights into their accounts. Once salespeople have identified an opportunity they can then create strategies and improve ROI. It offers B2B company data and contacts across various industries.

article thumbnail

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

article thumbnail

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.