SkillPath Seminars
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In Business Analytics & Data-driven Decision Making, participants will learn...

  • The fundamentals of effective business analytics and where companies go wrong
  • The critical difference between business analytics and business intelligence and why so many smart businesspeople mix them up and regret it later
  • The most effective ways to collect and store the mountains of data available today
  • How to see what your data is really trying to tell you
  • The point of it all: Master the art of making the best business decisions

In today’s business world, you and your company can’t afford to make mistakes with your business analytics

Business analytics is now the driving force for improved decision making and higher ROI for companies across the globe. Unfortunately, many companies slip up by not identifying their business needs properly at the start … or mining the wrong data … or interpreting the data incorrectly, leading to bad business decisions. The question is, could your company be doing the same thing?

Join us for this insightful one-day workshop and learn best-practice strategies to identify the needs of customers, stakeholders, your internal departments and other related business areas when making decisions and planning projects.

You’ll leave here knowing exactly how to assess business trends and your resulting needs more accurately. Sleep better at night knowing you won’t be caught empty-handed and unable to complete projects or deliver products and services.

Increase business results and performance across your organization

Like any tool, business analytics only works if you use it correctly. Join us and become an analytic superstar in your organization. You’ll learn if your company is performing to its full potential. And, if not, you’ll go back to work with a plan to fix the problems and get back on the right track. Plus, you’ll gain communication techniques that will ensure buy-in from everyone involved in the process.

Join us and learn how much more you could be doing with your business analytics process.

Don’t wait … enroll today!

    SkillPath Training Information

    SkillPath Enterprise Solutions can bring the following topic to your company: Business Analytics & Data-driven Decision Making

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    Business Analytics 101

    • Understand the difference between business analytics and business intelligence
    • Recognize where big data fits in
    • Identify the ongoing analytics needs of your organization
    • Understand how business analytics is a part of business intelligence (BI) and completes the sequence known as the BI value chain
    • The 3 criteria business analytics must meet
    • How business analytics can give your organization a competitive edge
    • Understand the business analytics life cycle
    • 8 organizational capabilities of the intelligent business
    • Recognize how current business trends impact the way business analytics are practiced and applied
    • Overcome common challenges in ensuring data quality

    The Process: Collecting and Warehousing Data

    • Identify and define the solution scope—identify what needs to be analyzed and what techniques should be used
    • How to gather requirements from stakeholders using a variety of techniques and strategies
    • Information gathering: How to more effectively conduct individual and group interviews and develop questionnaires
    • How to select the technique that most appropriately leads to your understanding of the issue or project and leads to critical thinking and problem solving
    • Avoid the most common data warehouse failures
    • Learn from business case models on real-time data warehousing
    • Review case examples and applications
    • Develop an individual business case that reflects the needs of your organization
    • The best analytics tools most frequently used in today’s businesses
    • How to identify and document business rules
    • The importance of accounting for the human element in business analytics
    • Elicitation techniques that result in greater and more qualified data

    Data Mining for Information

    • Apply logic and mental processes to find meaning in data
    • Data analysis: How to use visualization and dimension reduction
    • Learn how to conduct a business performance evaluation using predictive performance techniques
    • How to use prediction and classification methods when analyzing data
    • Learn to analyze data and extract commercially relevant and actionable information
    • Apply logic and thinking skills to find meaning in data
    • Understand the BI chain and how it leads to value
    • Prediction and classification methods that yield business insight and lead to better decisions
    • How to develop and identify business case models to gather qualitative and accurate historical and business case requirements, data and information
    • How and when to use decision, descriptive, predictive and prescriptive analytics
    • Overcome statistical blindness: Tools and models for making sense of basic business statistics
    • How to use data mining to sift through and understand what data is relevant … use the information to project outcomes … and make informed decisions faster

    Make More Effective Business Decisions

    • How to communicate information to stakeholders in a way that promotes more effective understanding of the requirements
    • Apply data analytics such as social network and text analytics that yield greater business performance data
    • Creative thinking skills that engage stakeholders, identify needs and lead to new process approaches and ideas
    • How to use multiple linear and logic regression strategies to make business decisions
    • Create business case models that accurately reflect your organization’s needs and practices
    • Get stakeholder agreement on data results and implications … and next steps
    • Create crystal-clear requirements that are easily understood by stakeholders and project execution teams
    • Forecasting models that provide more valid predictive data
    • How to graphically present the data results in a way that is easily understood and provide a clear interpretation of what action is recommended