AI and Enterprise Data Management Strategy Consulting

The journey from data and AI to business decisions doesn't begin with the technology itself but with recognizing data and analytics as the new sources of value and key drivers of competitive advantage in today’s economy

Organizations struggle to leverage these assets effectively A common and costly problem faced by companies is poorly organized and fragmented data. Couple this with no clear strategy or tools for integration and it can be all too easy for organizations to miss all of the opportunities they have to leverage these assets effectively.

We help clients get more out of their data We use a proven methodology that assists both small and large companies in transforming data chaos into profitable insights. By organizing siloed data into actionable intelligence, we enable your Business team(s) to access and easily work with the data.

Combining our experience in both technical and leadership roles, we have developed and implemented practical, data-driven solutions to solve a wide range of business challenges. Our business-centric approach ensures that your data initiatives delivers clear value across the organization. Whether you’re just getting started, expanding, or realigning your data journey, you can count on us for success.

What We Do

• Knowledge gathering, defining business requirements and current state assessment
• Business modeling, defining business Initiatives and desired outcomes
• Defining business decisions with supporting KPIs and metrics which will be used to measure effectiveness of the outcomes and business decisions
• Use cases development
• Target state definition and Gap analysis
• Technology selection
• Roadmap Development
• Change Management

Knowledge Gathering, Defining Business Requirements and Current State Assessment
Aligning your data environment with your business requirements is absolutely critical to a successful initiative. The best tools or sophisticated designs won’t salvage a data program that fails to focus on the business. Your business requirements impact almost every decision made during the course of the implementation.

We use a proven, business-focused methodology to identify and unlock your company's data needs.

Business Modeling, Defining Business Initiatives and Desired Outcomes
Our requirements deliverable typically covers the following topics: critical business and analytic requirements, feasibility of existing systems and data to support the capabilities required, preliminary data architecture with common business dimensions, initial project success criteria, and key issues/risks with tactical and strategic recommendations.

Target State Definition and Gap Analysis
This deliverable may include development of pilots and prototypes.

Technology Selection
Picking the right vendor for your business can be challenging given the sheer number of options to choose from, and it's not uncommon for vendors to promise more than they can deliver. To address this, and with the current and target states in mind, we conduct thorough vendor fit analysis for our clients.

We collaborate closely with our clients during the vendor selection process, providing objective advice to those preparing to invest in a data management platform. The end result is a robust and reliable platform tailored to their specific needs budget.

Change Management
We proactively transfer knowledge and skills leading to client self-sufficiency during every project.

Data Quality (DQ) Profiling and RemediationOur team specializes in developing automated database architectures and systems that ensure Data Quality and performance. It's essential to highlight (and often overlooked) that good DQ is extremely critical for reliable analysis and informed decision-making.

At TheDataCubes, we have developed a tool designed for DQ monitoring, detecting anomalies in raw data as they appear, and identifying data drifts across critical KPIs.

Reach out to learn about additional services we can offer to help you maximize your data ROI. We're eager to hear from you!