Cloudera
JANUARY 24, 2023
UBL needed a superior data platform to handle the increasing volume and improve the business With UBL’s growing success, the bank needed to accommodate its growing volume of data. To this end, UBL embarked on a data analytics project that would achieve its goals for an improved data environment.
datapine
MAY 27, 2020
Once you’ve made a conscious commitment to work with dynamic analytical reports, the next phase of the “ how to write an analysis report” operation comes in the form of choosing the right chart type. A modern data report offers a host of interactive data charts and visualizations you can use to your advantage.
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IBM Big Data Hub
AUGUST 28, 2023
It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This data is leveraged by departments throughout the organization and is essential to their business operations. As business processes grew more complex, the data transparency and visibility suffered.
datapine
SEPTEMBER 11, 2019
Here we explore 13 BI examples based on real-life case studies, scenarios, data, and discoveries. These business intelligence examples will showcase the power and potential of big data analytics in the modern age and how it can make your venture smarter, stronger, more scalable and more successful. 4) Increasing Sales.
Smart Data Collective
NOVEMBER 22, 2021
Big data has been a powerful force of change in the fitness industry. More fitness companies are using data analytics, AI and other technology to better understand their customers, improve their operating margins and make other changes to adapt to new trends. The Role of Big Data in Fitness.
Cloudera
NOVEMBER 18, 2020
It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .
datapine
APRIL 15, 2020
Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. To fully utilize agile business analytics, we will go through a basic agile framework in regards to BI implementation and management. Construction Iterations.
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