Keller Schroeder’s Data Strategy Group partners with clients to address these important challenges.
We collaborate with clients to design, build, & grow impactful and practical data management & analytics competencies in their organizations. Our flexible approach combines strategy & management consulting methodologies with technology & analytics expertise to meet clients where they are, and take them where they want to go, all focused on business value creation.
Data is an asset. It has a lifecycle. The better you manage the lifecycle, the more return you get on the asset. Let’s partner and achieve your returns together.
Improving business processes through a variety of platforms, visualization, and development tools. Learn More
Prioritizing data and analytics activities with key organizational goals and objectives. Learn More
Certified engineers designing and implementing highly integrated infrastructure solutions. Learn More
Technical recruitment and placement of IT professionals across a multitude of industries. Learn More
Competing in the digital age is about generating return on data assets, so your data strategy and corporate strategy must go hand in hand. Focus your data & analytics efforts so they drive your KPI’s and corporate goals.
Truly data driven organizations have a culture where leaders reinforce reliance on data in decisions and behaviors, and subject matter expertise is augmented by meaningful data insights.
Business software systems don’t exist in a vacuum. Getting the right data at the right time depends on your ability to integrate data suppliers and consumers – internally and externally – into a “data exchange” style enterprise architecture in support of business processes.
Inaccurate, conflicting data sets are extremely costly to organizations, suboptimizing operations, reducing management productivity, and increasing risk. Establish collective trust in your data with the tools, methods, and skills to govern your data assets as the source of truth.
Sourcing or growing the right data talent can be challenging, and hiring missteps can stymie progress on analytics initiatives. That’s why it is imperative that you thoughtfully design your future state data organization with solid understanding of key roles and a plan for cultural fit.
Decision makers need timely information on their operations. Business Intelligence & Dashboards automate this information in a clear, accessible, up-to-date manner.
Use math & statistics to predict business outcomes that support decision-making & action.
Use optimization algorithms and simulation to inform complex business choices that maximize profit with our operations research.
Incorporate machine learning and deep learning models into software tools to automate recurring business decisions.
Data Strategy IS Corporate Strategy. Don’t embark on data and analytics initiatives without a strong tie to your organization’s strategic direction.
Innovation and change go hand in hand with analytics, requiring deliberate management focus.
Culture is the primary barrier to analytics & data strategy. Adopt our proven methodologies for technology implementations and managing complex change.
Don’t apply analytics to broken business processes. Analyze and fix them first, using the principles of LEAN.
Analytics initiatives must be managed as a portfolio of ROI generating projects leveraging targeted investment in new capabilities. Use our proven methodologies for managing this process.
Analytics won’t help if your organization doesn’t know how to measure business success. Establish the right metrics and incentive structures to encourage the behaviors that drive performance.
Analytics initiatives must be managed as a portfolio of ROI generating projects leveraging targeted investment in new capabilities. Use our proven methodologies for managing this process.
Your data has inherent value as both asset and liability. Monetize this value and manage liability strategically for competitive advantage.
Strategically develop the oversight, policies, standards, and business rules to manage and improve your organization’s Data Quality.
Competing versions of data create uncertainty and reduce productivity. Establish & certify your Master Data as the single source of truth.
Data sets have varying degrees of logical structure, depending on business purpose. As scope and complexity increase, designing and modeling this structure becomes imperative for the data to even be useful to the business.
Business software systems don’t exist in a vacuum. The better these systems are architected to integrate effectively, the greater the business performance.
Keller Schroeder has a proven track record of successful projects to ensure you invest in the right solution to meet your business or organizational objective. That is why we have partnered with other customer-centric firms to provide a consistent, high level of knowledge and complete solution experience.
Joe Dunn, Senior DBA and Senior Data Engineer for Keller Schroeder explores the rapidly changing DBA Services environment and discusses the impact of many of the newer technologies on that landscape for the DBA professional.
Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
Developments have made cloud computing a cornerstone of modern technology, driving innovation and shaping the future.
What does your corporate strategy and culture have to do with your data and analytics strategy? Everything.
