Agile Business Intelligence Cloud White Paper 
Datavail
SEPTEMBER 2, 2021
Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. Moving your data analytics to the cloud means that you’ll be using new technologies.
Datavail
JULY 7, 2022
The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.
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Datavail
JUNE 21, 2022
If you are involved with managing data, analytics, or business intelligence, you know that your organization is going to increase its appetite for making decisions based on its large reservoir of data. Some companies are experiencing shortages among cloud providers. Here are the top challenges you’ll need to address.
Datavail
SEPTEMBER 28, 2022
Increasing business agility: 56%. Streamlining and automating business processes: 49%. Data mesh uses a concept that gives responsibility for data management to the business domains in your organization. Various business domains are responsible for preparing their data to be used in business intelligence applications.
Datavail
SEPTEMBER 1, 2021
If you’re like many IT professionals, you’re finding that moving some or all of your systems to the cloud makes sense. Should you move your data analytics to the cloud? They relate to low cost, scalability, quick and agile systems to produce analytics, and a desire to have analytics that consider input from across the organization.
Altexsoft
MARCH 16, 2023
Telsyte’s Asset Loss White Paper claims that businesses expect a $1.34 Source: Telsyte’s Asset Loss White Paper Inefficient inventory management. Scanning tags and having all the information automatically transferred to the business management system is way more effective, fast, and accurate.
Cloudera
AUGUST 21, 2021
There is now greater demand for business and customer intelligence and traditional methods of batch processing can no longer cope with the influx of data, most of which is unstructured. The pressures banks face call for a versatile end-to-end platform designed to drive insights, intelligence, and action from the data.
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