So, You Are Thinking About Integrating Machine Learning Into Your Business Process?

By: Dmitriy

When most people think of ML, they imagine a team of data scientists, high overhead costs for computer hardware and timelines that stretch into quarters or a year before seeing results. But today the market is filled with automation tools and cloud-based computing power. ML, AI, and Big Data are available more than ever. It is now easier for medium to large-size businesses to start using and applying these advancements in business intelligence technology to grow and improve their business.

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Data Biz: Q & A with John Tardy

By: Sharon Mattei

John Tardy is a principal consultant at Starr & Associates and leads the Business Intelligence and Data Analytics practice area.  He has a BS in Electrical Engineering and an MS in Biomedical Engineering from Rutgers University and an MBA in Management of Technology from Georgia Tech.  He has worked with start-ups and served in senior leadership roles with some of the most recognized brands in the country.  He pairs a depth of technical expertise with business savvy to deliver practical and impactful solutions for his clients.

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Analytics Is a Team Sport

By: John Tardy

One of the things I enjoy about our work in analytics is the variety of business problems we solve. While the specifics of the problem vary, our overall objective is always to derive value from the data. Putting the client’s needs first means that we adjust our approach to best fit the situation rather than fixate on a specific tool or pre-selected solution. This variety makes the work exciting, but it also creates challenges in staffing the appropriate skills. Over the years, I have come to refer to our solution to this challenge with the phrase “Analytics is a team sport.”

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Using Predictive Analytics to Plan Inventory to Support Product Warranty Claims

Using Predictive Analytics to Plan Inventory to Support Product Warranty Claims

Understanding Predictive Analytics and Predictive Understanding

The term predictive analytics refers to the analysis of existing data to create forecasts that when properly applied, help avoid future problems. While kaizen helps spot problems live on the manufacturing floor, using predictive understanding methods provides an opportunity to:

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Find Field Service Efficiencies Using a Lean Six Sigma Approach

Find Field Service Efficiencies Using a Lean Six Sigma Approach

Field service management has always been challenging, as you rarely know exactly what’s happening when your personnel are on the job and interacting with customers. This can introduce a great deal of variability in service levels, which doesn’t always lead to great customer experience. From system inputs to scheduling, see how the structure of Six Sigma or lean manufacturing can be leveraged to provide efficiencies and improve service for field staff.

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Why Strategic Plan Implementations Fail

Why Strategic Plan Implementations Fail

You’ve spent weeks or perhaps even months going through the strategic planning process, often burning through hundreds of hours of staff time to craft ideal strategies. Yet, within only a few months you find that plans are beginning to morph and slowly shift direction away from your hard-won strategies. Without clear ownership of the project, executive buy-in and consistent communication, it’s difficult to drive for successful implementation of your strategies.

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