Big Data Analytics and Business Intelligence

Enabling Your Business to Make Smarter Decisions

Are you tired of being under constant pressure to make the right number-based decisions for your organization?

Are you too often overwhelmed by an out-of-control flood of numerical information, much of it conflicting and confusing?

Big data is booming ast as organizations devote new technology resources to tapping the terabytes (if not petabytes) of data flowing into their organizations.

Today big Data is flooding into the business both through internal processes and externally via social media.

What does this all mean for business intelligence (BI) users and systems?

With all the attention on advanced analytics for big data, what’s the play for BI?

Integrating advanced analytics for big data with BI systems is an important step toward gaining full return on investment.

Advanced analytics and BI can be highly complementary.

Advanced analytics can provide the deeper, exploratory perspective on the data.

BI systems provide a more structured user experience through there richness in dashboard visualization, reporting, performance management metrics, and more can be vital to making advanced analytics actionable.

Recently on December 6, 2016 I was at Astoria Plaza, Ortigas Center, Pasig City for a dynamic and empowering one-day training on Big Data Analytics and Business Intelligence.

Course Description:

Make smarter business decisions using these powerful data analysis techniques

Information is supposed to make us smarter, but more often than not, it simply overwhelms us.

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company initiatives.

The truth is that the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

This seminar goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made.

Learning Objectives



  • Apply Best Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
  • Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
  • Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time

What Was Learned

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
  • Critical marketing steps of orientation necessary before engaging tools and technology
  • How to simply and quickly amplify decision making by separating the signal from the noise
  • A framework for asking the right questions, allowing the ability to link analytics to business strategy

What Was Covered

  • Using data and statistics effectively in business today
  • Improper data manipulations and their consequences
  • Exploring quantitative data collection methods
  • Improving analysis success by effectively utilizing software
  • Understanding regression, trend lines, and scenarios in Excel
  • Utilizing the power of business intelligence software
  • Finding and analyzing data patterns, trends, and fluctuations
  • Interpreting and translating data into decisions

Who Attended

Over 80 business professionals who needed to learn more about the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day.

Section One

Big Data—It’s Not Just Size

  • Describe the Importance of Effectively Analyzing Big Data in Business Today
  • Come up with a Data Map to Analyze the Big Data in your business.
  • Establish Clear Objectives When Analyzing Big Data
  • Recognize and Apply Various Data Collection Methods
  • Identify and Resolve Problems Associated with Data Collection
  • Discuss the difference between Data Warehouses and Data Lakes
  • Determine when to use Data Blending in your analysis

Section Two

Analysis—Using Business Intelligence Tools

  • Assess Your Current Analytics Culture
  • Describe the Issues and Trends in Today’s Analytics Field
  • Optimize your use of MS Excel for Big Data analytics
  • Discuss the concept of Data Visualization
  • Utilize BI Tools like Tableau Public
  • Build a Business Dashboard Prototype

Section Three

Interpretation—Assessing Results

  • Articulate the Importance of Accurately Interpreting Data
  • Determine and Analyze Risk, Uncertainty, and Probability
  • Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
  • Understand when to employ Descriptive, Predictive or Prescriptive Analytics
  • Build Data Models

Section Four

The Art of Presenting Big Data

  • Apply a Process to Present Big Data Clearly
  • Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
  • Master the Power of Enchantment
  • Use Findings from Big Data to Drive Decisions Within Your Organization

Too often people dive into the data only to be lost in haze of data.

This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

Analytics Training – DMAIPH in partnership with Ariva Events Management, offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on which of our DMAIPH analytics training solutions is best for you.

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