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Professional training course

Business Intelligence: Data Analysis and Reporting Techniques

In this day and age it is no surprise for corporate staff to be overwhelmed by the abundance of unstructured data. ERPs and databases have evolved to a point where they…

  • 5 daysClassroom
  • 13Upcoming dates
  • 5Cities
  • £2,250Fees from

Course overview

Why Attend

In this day and age it is no surprise for corporate staff to be overwhelmed by the abundance of unstructured data. ERPs and databases have evolved to a point where they can house amazingly large amounts of data. The question now is, what do you do with this data to add value? This program will introduce Business Intelligence (BI), hands-on, to allow you to clean, normalize, and interpret large volumes of data. You will be able to establish historical relationships, analyze the current situation and predict future strategies. The application of BI is borderless, covering operational, tactical and strategic business decisions. It spans all departments and cascades down to all users who perform data cleansing, reporting, analysis, modeling, integration and automation.

Course Methodology

20% of the course is design and structure focused while 80% uses MS Excel as a BI tool. Groups and individuals will be required to complete exercises, case studies, and projects on a daily basis.


Course Objectives

By the end of the course, participants will be able to:

  • Boost Excel Business Intelligence (BI) expertise in data slicing and dicing, data massaging, and data aggregation and modeling
  • Perform data normalization, consolidation, report writing, analysis and reconciliation
  • Develop dynamic BI models, dashboards, scorecards and flash management reports by linking-up Excel with Access, Web, Text, Internet, SQL, ERPs and other databases
  • Advance and enhance the look and feel of reports using dynamic visualization techniques
  • Acquire numerous tips and tricks that enable them to work efficiently
Target Audience

Business professionals, business analysts, data analysts, research analysts, finance professionals, marketing and sales professionals, HR professionals, IT professionals, administrative staff, supervisors, general business professionals and staff from any function who need to learn and apply state-of-the-art data analysis techniques to their daily business reporting and decision making.


Target Competencies
  • Massaging and normalizing data
  • Reporting, analysis and reconciliation
  • Interpretation of large data sets
  • Modeling and 'what-if' scenarios
  • Establishing data integration
  • Developing dynamic dashboards and scorecards
  • Designing key performance indicators


Course outline

  1. 1Day 1: Data analysis tools and techniques
    • Consolidating data from separate files and sheets
    • Advanced data validation using lists, dates and custom validation
    • Powerful array functions
    • Cell management tools: left, right, mid, concatenate, value
    • Naming, editing, and managing cells and ranges
    • Subtotal, sumif, sumifs, sumproduct, count, countif, countifs
    • Looking-up data, texts, and values using vlookup
    • The incredible table-tools technique
    • Slicing dates into day names, weeks, week numbers, month names, years and quarters
    • Text-to-columns and dynamic trimming using trim and len
    • Managing texts and numbers using replace, find, and substitute
    • Text change functions
  2. 2Day 2: Mastering data reporting: the 20 must learn pivot-tables tools
    • Creating pivot tables
    • Number formatting techniques
    • Designing report layout
    • Sorting in ascending, descending and more sort options
    • Filtering labels and values
    • Expanding and collapsing reports
    • Drill down option
    • Summarize values by sum, average, minimum, maximum, count
    • Show values as % of total and % of
    • Pivot table options
    • Inserting formulas
    • Date analysis
    • Copying pivot tables
    • Creating pivot charts
    • Dynamic chart labeling
    • Mastering the slicer
    • Showing report filter pages
    • Linking pivot tables and pivot graphs with PowerPoint
    • Conditional formatting with pivot tables
    • Designing reports using the getpivotdata
  3. 3Day 3: Data modeling and integration
    • Spinner
    • Check box data modeling with if function
    • Option button data modeling with if function
    • List box data modeling with choose function
    • Scenario manager
    • Linking Excel with text files
    • Linking Excel with databases (Access)
    • Linking Excel with SQL
    • Linking Excel with internet
    • Linking Excel with Excel
  4. 4Day 4: The look and feel: charting and visualization techniques
    • Using the camera tool
    • Working with formula-driven visualizations
    • Using fancy fonts
    • Leveraging symbols in formulas
    • Working with sparklines
    • Creating unconventional style charts
  5. 5Day 5: Tips and tricks
    • Controlling and protecting your reports, worksheets and workbooks
    • Data entry form
    • Custom list
    • Text-to-speech
    • Advanced conditional formatting
    • Shortcuts for your daily work

Dates and fees

14DEC 14 - 18 Dec 20265 days BarcelonaSpain £3,850+ VAT Register
18JAN 18 - 22 Jan 20275 days ParisFrance £4,500+ VAT Register
15FEB 15 - 19 Feb 20275 days FrankfurtGermany £3,250+ VAT Register
15MAR 15 - 19 Mar 20275 days BarcelonaSpain £3,850+ VAT Register
19APR 19 - 23 Apr 20275 days FrankfurtGermany £3,250+ VAT Register
17MAY 17 - 21 May 20275 days RomeItaly £4,250+ VAT Register
21JUN 21 - 25 Jun 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
19JUL 19 - 23 Jul 20275 days BarcelonaSpain £3,850+ VAT Register
16AUG 16 - 20 Aug 20275 days ParisFrance £4,500+ VAT Register
20SEP 20 - 24 Sep 20275 days FrankfurtGermany £3,250+ VAT Register
18OCT 18 - 22 Oct 20275 days BarcelonaSpain £3,850+ VAT Register
15NOV 15 - 19 Nov 20275 days FrankfurtGermany £3,250+ VAT Register
20DEC 20 - 24 Dec 20275 days RomeItaly £4,250+ VAT Register

Questions

Frequently asked questions

How long is the Business Intelligence: Data Analysis and Reporting Techniques course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Business Intelligence: Data Analysis and Reporting Techniques course?

The next public date is 14 - 18 Dec 2026 in Barcelona. There are 13 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Barcelona, Paris, Frankfurt, Rome, Kuala Lumpur.

How much does the course cost?

Fees start from £2,250 + VAT per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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Any course in our catalogue can be delivered privately for your organisation, at your offices or in one of our cities, with content shaped around your goals.