Analytics Data Analytics Data Transformation Digital Transformation 
Sisense
FEBRUARY 26, 2020
In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Become data-driven to succeed.
CIO Business Intelligence
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?
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AWS Big Data
MARCH 13, 2024
Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches.
CIO Business Intelligence
MARCH 4, 2024
Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. Proponents of centralization continue to assert its effectiveness in driving operational efficiencies, enhancing analytics effectiveness, and enabling governance crucial to data security, privacy, and regulatory compliance.
Smart Data Collective
APRIL 29, 2020
Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Data transformation.
AWS Big Data
APRIL 26, 2023
For historic reasons, the required data for this aggregation step is siloed and represented differently in diverse systems. Because each source system and data type have its own schema and format, it’s particularly difficult to perform analytics based on this data.
AWS Big Data
OCTOBER 11, 2023
The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.
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