Business Intelligence
REVISION aligns business outcomes with trusted actionable information driving innovation, and increasing operational efficiency through the use of Business Intelligence.
REVISION aligns business outcomes with trusted actionable information driving innovation, and increasing operational efficiency through the use of Business Intelligence.
of companies see Business Intelligence implementation as a business challenge
Poor data costs US economy annually
Of organizations implementing digital transformation will fail because they do not take a modern approach to data and analytics governance
One of the greatest opportunities in establishing a Data Governance program is aligning people across Departments towards delivering information together. Our assessment yields a roadmap with an incremental delivery plan to identify cultural and process barriers to achieving well-governed data that is effectively used for decision-making.
Data management delivers a set of workshops with Business and IT stakeholders to align on how to govern data with agility and implement information pipelines with speed. It includes a high-level gap analysis on technology to enable a modern data strategy. We take your teams through a real use-case that will provide tangible value to the organization. Our method scales from a single department to the entire organization.
We have decades experience selecting and implementing MDM software and can guide you through the evaluation and implementation process. The key challenges in achieving results with MDM are the demands the system places on stakeholders who must care-and-feed the solution to keep it afloat. Over time, legacy technologies create even greater burdens on your Team as procedural rules become more complex and the system grows more brittle to change. Whether you have an established MDM program or just getting started, identifying people, process, and technology gaps will better prepare you to achieve value.
You may have heard of DevOps, and now Data Ops is the holistic approach to continuous delivery and validation of analytics pipelines. It requires your development team to work in a new agile way with new technologies to improve your outcomes and reduce development risk. We work with you to identify people, process, and technology gaps to deliver an incremental roadmap to achieve this goal. We can work with your teams in a step-by-step process to co-develop a DataOps framework as we implement a real-world data pipeline ensuring great results into the future of your DataOps efforts.