Remove Data Quality Remove Magazine Remove Reporting Remove Visualization
article thumbnail

Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

Another podcast we think is worth a listen is Agile Data. Throughout each episode, hosts Shane and Nigel discuss how to incorporate agile techniques when teams deliver analytics, data, and visualizations. Topics they chat about include: going serverless, data layers, and how to adapt for a “BI Lifecycle.”

article thumbnail

Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

The question and answer we included come from an actual interview that Fortune magazine did with billionaire Tilman Fertitta. This gives to that sales graph an overall sense of visual contrast which makes it much more digestible at a glance. Download our free executive summary and boost your sales strategy! From Fiction To Reality.

Sales 235
Insiders

Sign Up for our Newsletter

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

article thumbnail

Proven AI solutions for modern planning

Jedox

For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. Jedox uses the data hub of its EPM software platform for AI applications.

article thumbnail

Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263
article thumbnail

Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

To outline that caveat, I count four main points in the article describing necessary conditions which a successful organization must put into practice: Position data science as its own entity—make it its own department, reporting to the CEO. I double-dare you not to visualize that cohort! Let’s roll the clock back ~65 years.