Today2.5 quintillion bytes of data being generated every day, as per 2019statistics, organizations are tasked to handle this for various IT and no IT purposed. This figure is only going to leapfrog with increased adoption of IOT and 5G. However, as per Forrester reports, 60-73% of all data within an organization goes unused. The logic often given “collecting all the data is pointless if it’s not going to be used to deliver accurate and accountable insights”.
However, in reality, there is not enough time, people and/or money for effective data management using manual processes. Even if organizations use analytic tools, the advantage would be limited unless they establish a foundation for agile and complete data management.
CloudPrisma automated data management approach lays the foundation and creates key enablers for a data-driven business. CloudPrisma experts make it possible to avoid situations where there’s either too much data left unaccounted for and too much potential revenue left on the table for the strategy to be considered effective. Also our experts streamlines the data so that organizations do not end up in a situation where there is so much disparity in the data sources and silos in where data is stored that data quality suffers to an in surmountable degree, rendering any analysis fundamentally flawed.
CloudPrisma Solution Approach to Automate Data Management
CloudPrisma typically uses a seven step approach to transition from manual to automated data management –
1. Ensure Data Quality – Matching business terms with data assets with Automation & documenting sequence asper lineage down to the column level for good decision support.
2. Recognize the Data Lineage Complexity – With data constantly moving from one place to another via multiple routes makes the lineage complex. Using any manual process will not provide accuracy and would be time consuming.
3. Automatic Code Generation –Associating and mapping the data elements to their sources within a single repository to determine data lineage and matching data integration across platforms would reduce the need for specialized & technical resources.
4. Automate Data Due Diligence by using Impact Analysis – With the use of the CloudPrisma Impact Analysis algorithms the IT department can provide operational intelligence to the business to evaluate the value of the data and prioritize individual data sets.
5. Catalogue Data – CloudPrisma provides solutions with a broad set of metadata connectors for Cataloguing data so that all data sources can be leveraged.
6. Data Literacy Across the Organization – CloudPrisma is of the firm belief that Data literacy is essential for people to understand business glossaries and socialize data to all the stakeholders, in line with their roles.
7. Data Governance and Standards for Data Automation - Work with the stakeholders to design and implement a Data Governance strategy and address the greatest pain points of the organization, while ensuring ongoing practice with compliance and standards.
The Benefits of Data Management Automation
With data management automation, data professionals can meet their organization’s data needs at a fraction of the cost and much faster than the traditional &manual way.
With CloudPrisma Automated Data Management experts, you are in safe hands!!
