Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Practice in which incremental code changes are made frequently and reliably
Compare two database definitions and apply the differences from the source to the target
Collaborative data management practice
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
Accurate data has several beneficial impacts on organizations:Decision making: The better the data accuracy, the more confidence users will have in the outputs they produce, lowering risk in the outcomes and increasing efficiency. The old “garbage in, garbage out” adage is true, as is its inverse. And when outputs are reliable, guesswork and risk in decision-making can be mitigated.
Productivity: Good-quality data allows staff to be more productive. Instead of spending time validating and fixing data errors, they can focus on their core mission.
Compliance: In industries where regulations govern trade with certain customers, especially in finance, maintaining accurate data can be the difference between compliance and millions of dollars in fines. Compliance continues to be an ongoing focus as new regulations continue to evolve in regions around the world.
Our Impact
80% less time spent reconciling data between source and target
45% average improvement to end users’ productivity
2x improvement to end users’ confidence on data
2x amount of business value from analytics investment
Nihar is passionate about creating innovative digital solutions for big problems that can have a fundamental impact on how companies operate. He brings years of digital strategy, analytics implementation and leadership experience from multiple industries, including Accenture, Ecolab and General Electric, among others. Additionally, he has consulted for Fortune 500 companies worldwide. Nihar earned a bachelor’s in mechanical engineering from University College of Engineering Burla in India and later received his M.B.A. with a focus on innovation and entrepreneurship from Northwestern’s Kellogg School of Management.
Ranjit is an experienced customer success leader with an overall 24+ years of focused IT and customer centric experience across different verticals of businesses. He has a proven track record in executive consulting, strong relationship building, and playing the role of trusted advisor, driving customer journey and adoption, guiding in business value realization, strategy consulting, technical consulting and meeting and exceeding customer expectations. He has driven expansions and revenue growth with new and existing customers keeping in mind the ask from the leadership and mapping it with business objectives and goals and executing it successfully and delivering the results. Ranjit earned a bachelor’s in engineering from National Institute of Technology Calicut, India in the year 1999.
Thought leader, trusted adviser, innovation coach and author in SAP intelligent technology and solutions. Business Leader with relentless optimism, technical and financial acumen and believes in building a bright future and a better world together. With a vision to innovate businesses, he works with leaders in multiple organizations to help drive digital transformation. Expert in SAP Cloud Platform, SAP intelligent technology and advanced analytics. Speaker at SAP TechEd, Sapphire & S-KOM. Distinction of SAP Catalyst, SAP Executive Data Chef and SAP HANA Distinguished Engineer. Abani holds bachelor’s in Electrical Engineering from University College of Engineering, Odisha.
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