FINAL WORD
A data strategy is a business plan for data . Data strategies define the roles of people , process , and data with the aim of supporting business decisions and insights . represents the most crucial and difficult of the skillsets – understanding what changed .
This is handled through the replicate tool . Automation takes this a step further and builds this data into a data lake or data warehouse automatically , allowing for seamless integration and management of data into usable information assets . As automation removes human bias , these structures do not become obsolete .
Udhveer Sookraj , Data Integration Specialist ,
Insight Consulting business . It is vitally important that a data strategy is agnostic of technology and be representative of the company ’ s future growth and direction .
Introducing automation
The second element of successful cloud computing is automation . Data warehouses and data lakes would typically take months to setup correctly and often would mean that the focus would be on one area of the business . This limits the return on investment . Of larger concern is the inherent skills shortage that plagues the data sciences . We simply cannot keep up with the changing demands and direction in a timeframe that brings value to business .
Automation tools allow us to onboard data from almost any source through a powerful replication tool . The replicate tool has a zero-footprint which mirrors the data in real-time from a source without overhead or impact on the system . It is technology-agnostic which removes the typical limitations of a single vendor technology . This speaks wonders for cloud as we can bring a variety of datasets into the cloud at a minimal cost . In the data sciences , change data capture
Through automation , this information is digested into functional business-ready data marts and enriched through a data catalogue for the business user , data scientist , or data analyst to consume .
Business needs
This is all done while allowing the data environment to be scalable , in line with the business needs , and agnostic of any technology , allowing for growth into the future .
Cloud computing , when coupled with a comprehensive data strategy and automation tools , eliminate the traditional barriers to entry , reduce costs , and multiply the return on investment . The result is an agile business that can respond with intuition to any macro , medium , or micro challenge or opportunity to become a truly global player .
By using the cloud and our data analysis tools , we can present real-time actionable insights to key decisionmakers across the business to improve operations , drive efficiency , boost the bottom line . This is how one future-proofs an organisation ’ s competitiveness and growth . African businesses would therefore do well to accelerate their cloud strategies . p
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