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Business Optimization

We will help empower your organization, accelerate innovation and achieve operational excellence.

Data Strategy

Dig into Your Data.

Your business has vast amounts of data and it is one of the few assets your competitors cannot replicate. Organizations that can translate data into business insights create a competitive advantage. They see where improvements are needed, where client preferences are trending and where market opportunities exist. The forward-thinking companies that embrace data analytics have a competitive advantage because they can see things faster.

Steps to Executing a Data Strategy:

Step 1:
Planning & Discovery

  • Objectives & needs analysis
  • Identify stakeholders, scope & timeline

Step 2:
Current State Assessment

  • Understand business processes
  • Identify data sources

Step 3:
Analysis & Roadmap

  • Gap analysis
  • Criteria for priorities
  • Initiative roadmap

Step 4:
Change Management

  • Organization & cultural change
  • Data governance

Data Collection & Integration

Where Can Your Data Take You?

Becoming a data-driven organization can feel like a daunting task, but it does not have to be. No matter where you are in your data analytics journey, our experienced professionals will help you navigate operational challenges and drive tangible business results inside your organization. We will help you identify which data to collect and how to organize, store and build organizational trust in your data.

Data Interpretation

  • Understanding what kind of business insights your data can provide
  • Calculating the ROI of data analytics implementation
  • Choosing the right metrics to track
  • Placing analytics results into easily understandable formats that are immediately applicable to your business
 

Data Collection

  • Ensuring the right data is identified and collected
  • Identifying where data conversions are needed to drive better insights
  • Verifying that collected data is clean, standardized and formatted correctly
 

Data Integration

  • Designing guidelines and procedures for data management
  • Connecting various data sources together via effective data architectures
  • Setting up a logical and holistic data infrastructure
 

Advanced Analytics

Take a Look into the

Advanced analytics uses existing data to formulate patterns and make predictions about future trends. Predictive analytics models are flexible — they can incorporate a wide variety of data and use a variety of statistical analysis techniques. Predictive analytics can help you answer some of these questions:

  • Which deals are most likely to succeed or fail?
  • What are the best indicators for successful M & A opportunities?
  • How can I use data to improve my revenues and margins?
  • Which employees deserve additional training investments?
  • Which trade shows will provide the best payback?
  • Which vendors would be good strategic partners?
  • Where are new product opportunities in my industry?

Power BI

Organize. Integrate. Visualize.

Microsoft Power BI helps small to mid-size businesses tackle their data challenges. It’s a flexible, easily accessible, and cost effective way to organize disparate data systems and actually use your data the way you want to.

Benefits include:

  • Personalized dashboards with advanced analytics capabilities
  • Secure report publishing
  • No specialized support required

Data Health Check

Assess Your Data's Quality.

Implementing an efficient system for ensuring healthy data is an important first step toward business optimization. It can also be expensive, which is why this critical business function is often overlooked or pushed aside in favor of more pressing priorities.

Fortunately, there is a way to prevent unhealthy, or “dirty,” data from slowing down efficiencies and costing you money.

Our Data Health Check is a low-cost and low-risk way to assess the quality of your organization’s data, address gaps that prevent data-driven decision making, and identify strategic uses for your data.

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