Smart Data Collective
OCTOBER 13, 2021
There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Data is useless without the opportunity to visualize what we are looking for.
Smart Data Collective
SEPTEMBER 27, 2022
As a result, manufacturers need to be more agile than ever, and most struggle to keep up. Agility Is Important at Every Stage of Manufacturing. Agility is an essential quality at every stage of manufacturing. Agility Begins In the Cloud. Cloud technology is among the biggest changes. Reliable and Trusted Security.
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Dataversity
JULY 8, 2022
For software developers, the agile methodology is not a new concept – it’s been around for decades in one form or another. In 2001, a group of individuals wrote The Agile Manifesto, outlining 12 guiding principles for the agile methodology and cementing the practice in the industry.
BizAcuity
NOVEMBER 13, 2024
Data Visualization and Dashboard Creation Complex datasets require intuitive visualization tools to make insights accessible. BI consultants often design dashboards and reports that simplify data interpretation, empowering leaders to identify patterns and trends quickly.
ElegantJ BI
MARCH 12, 2020
Self-Serve Data Prep: You Can Have Data Agility AND Data Governance! When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP). Original Post: You Can Achieve Data Governance AND Data Agility!
The BAWorld
AUGUST 15, 2021
Data Visualization. Did you know visualization has been in use since (and well before that as well) 1824 AD to develop an Egyptian map – the Turin Papyrus Map. Every data set tells us some story, but we need practical tools to find and communicate the story’s purpose with the stakeholders.
Timo Elliott
JANUARY 4, 2021
With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. And finally, agility. I’ve worked with hundreds of dashboard and data visualization projects over the years. What typically goes wrong? What would you do about it?
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