Analysts Corner
FEBRUARY 5, 2023
Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?
Astera
FEBRUARY 14, 2024
Ensure alignment with Salesforce data models and consider any necessary data cleansing or enrichment. Data Extraction: Extract data from the source systems according to the mapping plan. Data Transformation: Apply necessary transformations to the extracted data to align it with Salesforce requirements.
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Astera
JANUARY 19, 2024
Mulesoft Pricing MuleSoft’s Anypoint Platform is an integration tool with a notably high cost, making it one of the more expensive options in the market. The pricing structure is linked to the volume of data being extracted, loaded, and transformed, resulting in monthly costs that are challenging to forecast.
Astera
JANUARY 23, 2023
A comprehensive view of patients and relevant medical data allow healthcare providers to prepare care suggestions and counter rising health issues. Reduced costs The national health expenditures for the US healthcare system totaled $4.1 Storing and retaining healthcare records Healthcare data volumes are significantly rising.
Analysts Corner
JANUARY 12, 2023
In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24
Astera
APRIL 29, 2024
In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management. Implementing governance bodies to oversee compliance. Aligning the overarching data strategy. What are data privacy and security protocols? Why is a Data Governance Strategy Needed?
Astera
OCTOBER 10, 2023
Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.
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