Big Data was supposed to make things easier, 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.
With that in mind, DMAIPH has created a learning session entitled: Big Data Analytics 101. Join us on October 16 in Cebu for the next run of the program.
Our resource speakers: Dan Meyer, Executive Director of the Analytics Association of the Philippines and Doc Ligot, Founder and CEO of Cirrolytix Analytics Consulting Services. Between them, Dan and Doc have over 40 years of Big Data Analytics experience in banking, finance, education, training and data science.
Learning Session 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
- Master the art of Data Storytelling using Predictive Analytics
In this session, your organization will be able to use:
- 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
- Strategies 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
In this session, your participants will be able to:
- Bring out patterns in data that were not apparent at first glance
- Identify and explain tools for data analysis
- Shorten the time between analysis and action to avoid “analysis paralysis”
- Know how to get from hard data to well-reasoned conclusions
- Understand the entire Data Value Chain from data collection to data visualization
Who Should Attend: All business professionals who need the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day. Managers of analysts or staff who spend a significant amount of their time collecting, analyzing and reporting data.
Section One Title: Big Data—It’s Not Just Size
- Ascertain the current state of Big Data Analytics in the Philippines
- Describe the Importance of Effectively Analyzing Big Data in Business Today
- Establish Clear Objectives When Analyzing Big Data
- The Three “I’s” of Big Data Analytics
- Assess Your Current Analytics Culture
Section Two Title: Unlocking the Data Value Chain with Big Data Analytics
- Recognize and Apply Various Data Collection Methods
- The importance of Good Data Governance
- Identify and Resolve Problems Associated with Data Collection
- Discuss the difference between Data Warehouses and Data Lakes
- Utilize Business Intelligence Tools
Section Three Title: Moving from Descriptive Analytics to Predictive
- Determine and Analyze Risk, Uncertainty, and Probability
- Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
- Understand when to employ Descriptive, Diagnostic, Predictive or Prescriptive Analytics
- Build Data Models
- Exercise: Building a Predictive Model Prototype
Section Four Title: The Art of Presenting Big Data
- Discuss the concept of Data Visualization
- Apply a Process to Present Big Data Clearly
- Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
- Case Study: Using Data Storytelling to determine the Best Team in NBA History
- 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 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 email@example.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.