In today's fast-paced business environment, leaders at every level rely on precise, up-to-date, and integrated business data to extract business intelligence and actionable insights for making informed decisions.

While the significance of business data analytics is widely acknowledged, many organizations have yet to tap into its full potential.

Inteq's Business Data Analytics training course enables business analysts to elevate their organization's decision-making processes. Over the course of two days, this course equips you and your team with:

Advanced skills, techniques, and methodologies to frame the right business questions and convert business data into actionable intelligence for decision-making.
Enhanced critical thinking abilities, foundational knowledge, and best practices to identify, measure, and monitor key performance indicators (KPIs), facilitating a shift from reactive to proactive decision-making.
Expertise in visual data presentation and analysis, enabling operational and strategic decision-makers to uncover valuable insights and make well-informed tactical and strategic decisions.

This course transcends traditional training to offer a transformative experience, preparing you to become a trusted advisor for the challenges of tomorrow's business landscape. It's your toolkit and roadmap to mastering business data analytics.

Course Outline

Introduction And Framework

What is business data analytics?

Data analytics l Business intelligence l Data science l Big data

The business data analytics framework

Identify Business Questions

Effectiveness and efficiency

Business functions, processes and work activities

Identifying business questions

Measures, Metrics And Indicators

Measures and metrics

Performance metrics and outcome metrics

Indicators and key performance metrics

Selecting measures, metrics and KPIs

Analyzing Data-Oriented Business Rules

Business terms, concepts and relationships

State transition analysis

Facts and dimensions

Demand vs. supply side analytics

Data Acquisition

Identifying and mapping source-to-target data

ETL (extraction-transformation-load) as a business process

Analyzing data quality

Analyzing Data To Support Decision Making

Analyzing analytical data

Communication considerations

Visual communication techniques and best practices

Business Data Analytics Case Study

Participants develop and analyze business data analytics for a complex real-world business space. This case study provides an invaluable template that participants can leverage to jump start business data analytics in their organization.

Brining It All Together

Aligning analytics with organizational and operational strategy

The value of business data analytics

Learning Objectives | You Will Learn | Key Benefits

Ask the right questions: Master the art of identifying key business questions and challenges and translating them into actionable data inquiries.
Transform data into intelligence: Uncover hidden trends and patterns using proven methods, turning raw data into valuable, actionable insights.
Crack the code of actionable insights: Learn how to ask the right questions and uncover hidden meaning within your data.
Craft compelling data stories: Master visual presentation techniques to engage, educate, and guide decision-makers towards sound choices.
Speak the language of decision-makers: Gain the confidence to communicate complex data insights clearly and concisely.
Drive ROI from analysis: Learn how to leverage data analytics to boost your organization's profitability and efficiency.
Gain confidence: Apply your new skills, techniques, and methods via the business data analytics at scale case study.
Analyze the full life cycle of data: From identifying data sources, capturing and validating data, and transforming data into a valuable asset to glean insights and support decisions making.
… and much more!

Who Should Attend?

Business Analysts
Business Data Analysts
Systems Analysts
Project Managers
IT Professionals
Subject Matter Experts
Business Users actively involved in supporting better, faster business decision-making.

Prerequisites:

None. Inteq’s Business Data Analytics training provides a comprehensive and cohesive approach to data analytics, regardless of background and level of experience.

Business Data Analytics seamlessly integrates with:

Learning Options:

Live: Inteq’s Business Data Analytics 2-day training course can be tailored to your organization’s training objectives and can be combined with other Inteq courses to create a 3, 4 and 5-day hybrid training program.
Enterprise training for the entire organization.

What’s In the box?

OK, there is not a box per se - the content is digital. In addition to 2-days/16 hours of expert instruction you receive:

Digital Badge of Completion
Personalized Certificate of Completion
ACCET Continuing Education Units (CEUs)
IIBA Professional Development Units (PDUs)
Electronic (PDF) Comprehensive 160 Page Course Manual
Case Study Materials
Supplemental Course Materials

Course Length:

BDA training courses are 2-days in length via live virtual or onsite training.

Anytime eLearning™
Available June 11th

Anytime eLearning™ $995 $895 Per Participant
16 IIBA PDUs | 1.6 ACCET CEUs

Anytime, Anywhere, Any Device.
Self Paced. 2-Day Course. 45-Day Access

What is Anytime eLearning™?

*Or contact us via email or 800-719-4627 to talk with a Training Coordinator.

Team Training

Private onsite/live virtual training for teams.

2, 3, 4 and 5-day hybrid training
options available.

What is Team Training?

What Our Clients Say

"The instructor was very knowledgeable in the subject, energetic and easy to follow and gave good practical examples."

"A good virtual class with a lot of interaction that occurred in breakout room activities. It was helpful that the instructor gave a lot of opportunity to share thoughts after concepts were introduced."

"The instructor was very knowledgeable and did a good job of explaining course information with relatable examples. There were a lot of opportunities for class participation."

"The instructor was very knowledgeable in the subject, energetic and easy to follow and gave good practical examples."

"The instructor was very knowledgeable and did a good job of explaining course information with relatable examples. There were a lot of opportunities for class participation."