What is data harmonisation? A CPG Guide

Turn fragmented CPG data into unified insights with TELUS RGM Analytics. Learn how data harmonisation can sharpen your data strategy and drive better decisions.
Key Takeaways
Single source of truth: Data harmonisation creates unified, analytics-ready intelligence from fragmented data sources across your operations
Competitive advantage: CPG companies using harmonised data make faster, more accurate decisions in today's competitive retail landscape
ROI impact: Streamlined data processes reduce costs while improving promotional spend optimisation and revenue growth management
Omnichannel excellence: Essential for retailers managing both brick-and-mortar and e-commerce operations across diverse markets
Operational efficiency: Eliminates data silos and manual processes that slow down consumer goods companies
Future-ready: Scalable solutions that adapt to evolving retail trends and emerging data sources
From data swamp to data lake: data harmonisation clears fragmented, siloed data into a unified, analytics-ready source of truth.
Executive Summary
Consumer Goods (CPG) companies frequently struggle with fragmented data across physical and digital storefronts. The result? Inefficient ‘data swamps’. Data harmonisation solves this challenge by merging disparate sources, formats, and naming conventions into a single, unified database.
By establishing a single source of truth, this automated process eliminates operational silos and drastically reduces manual reporting times, such as Scholl’s 99.99% reduction in data management processes. Reports that used to take two weeks, now complete in minutes. Specialised software, like TELUS Revenue Growth Management Analytics, empowers manufacturers to deliver actionable retail insights, optimise promotional spend and make faster, more accurate decisions that drive profitability.
What is data harmonisation? A quick guide
Data is like water – it’s everywhere and it takes many different shapes. When collected and stored properly, you have a clear and easy to navigate data lake – where you can swim in incredible insight. But things get a little murky when there are formatting issues, duplicates, junk and missing data. Suddenly your crystal clear data lake becomes a stagnant data swamp full of disorganised raw data.
In a data swamp, you can’t easily see all of your raw data or make sense of it. You can’t glean good insights. So how can you clean up the swamp? The answer is simple – data harmonisation.
Data harmonisation at a glance
Let’s start with the basics. Data harmonisation enhances the quality and integrity of your business’s data by creating a single source of truth through advanced data processing.
How data harmonisation works
Data harmonisation makes your business data “analytics ready” by bringing together disparate and various data sources, verticals, file formats and naming conventions into a single database and then reorganising it all into a single schema. Your data is gathered, organised and centralised to become visible in a single, comprehensive data view. It is customisable and your view can be automated and analysed with dashboards.
It’s an ongoing process
Data harmonisation needs to be maintained to keep your past, present and future data easy to access, understand and analyse. This includes continuously validating your data points across channels to ensure metric comparisons are accurate. It also means regularly creating new attributes to enhance analysis when new data sets and/or information is added.
Why is data harmonisation important?
When well executed, data harmonisation gives you a complete view of your business performance. It empowers your business with high quality data and insights that can help you win online and in store. This is incredibly valuable for manufacturers like consumer packaged goods (CPG) companies that tend to be omnichannel.
Not harmonising data is risky business
CPG manufacturers typically manage data from multiple disparate sources including syndicated data, POS, consumer panels, trade spend and shipment data. Without data harmonisation, this data is siloed, disorganised and inconsistently formatted. This can lead organisations to make bad decisions, lose sales and experience instability.
For instance, a brand may have accurate brick-and-mortar sales and accurate data for its digital sales, but no clear way to view them together. A product may be underperforming online but overperforming in stores within the same area or region, but with no unified view, any insights or patterns to understand why remain hidden. When evaluating product performance then, teams make channel-specific decisions rather than understanding how offline and online actually interact with each other.
The fix? A data set that showcases performance as one connected channel, rather than two separate reporting tracks.
What data harmonisation software does
Data harmonisation software gives you that much needed holistic view of your business’s performance. It fosters easy data analysis and comparison across different data sets by converting them into a common standard. When used properly, the software:
Acquires data from multiple sources. Sources may include market (syndicated), consumer (research and loyalty), trade and revenue trends, account (shipments, POS sales, store level information), trade/RGM (baseline, promotion), product (master data, pricing), external (such as weather) and other (e.g. currency rates).
Ingests data. The data is gathered and stored in a combined, cleansed, centralised source.
Harmonises and customises data. The harmonisation process includes extraction (reading the data in the original data set), conversion (changing its format) and writing (incorporating the data into a new central database). The information is then blended together using machine learning and a “rules engine”. For example, an item that has a different description in three different data sources will be adjusted to have a consistent description and performance, and will be viewable in one place.
Enriches data. Custom market metrics like productivity are used to index an item’s velocity performance to the segment or category.
Analyses data. Analysis unlocks actionable insights by channel, brand and customised subsegments.
Data harmonisation vs data standardisation: what's the difference?
While often used interchangeably, data standardisation and data harmonisation serve distinct roles in your analytics strategy. Standardisation focuses on establishing uniform formatting within a single dataset. Harmonisation goes much further, blending entirely separate data sources into one unified view. Essentially, standardisation is just the first step toward achieving full data harmonisation.
What it does
Data Standardisation
Converts data to a consistent format
Data Harmonisation
Integrates data from multiple sources into one unified schema
Scope
Data Standardisation
Single dataset or field
Data Harmonisation
Across multiple disparate datasets
Output
Data Standardisation
Consistent formatting
Data Harmonisation
Analytics-ready single source of truth
CPG example
Data Standardisation
Aligning date formats across POS files
Data Harmonisation
Unifying Nielsen, IRI, POS and trade spend into one dashboard
Is it a step in harmonisation?
Data Standardisation
Yes — standardisation is one step within harmonisation
Data Harmonisation
N/A
How data harmonisation enhances your business
Data harmonisation offers a lot of value for CPGs. Once you harmonise your data, you will enjoy:
Data-driven insights. More accurate data leads to clearer and more accurate insights that you can leverage to scale your business and optimise promotional dollars.
Key performance indicators (KPIs). Easier to identify KPIs by channel, brand and other customised segments help you pave a path to success.
A clear view of your performance. A simplified, consolidated view of how your products are performing will enhance your decision making.
More accurate reporting. Trustworthy data leads to better reporting that could potentially save your business a ton of money.
Centralised data. Reduced data confusion and disparate data improves efficiency and a single master database enables you to access everything you need.
Expense reductions. Data harmonisation boosts your bottom line by saving your team time and enhancing the quality and usability of your data and insights.
Enhanced efficiency. Your team can work faster and focus on their priorities instead of getting lost in data silos. .
Centralised data governance. Data harmonisation enables centralised data governance – a top-down model where one group or team within your organisation sets and implements data governance strategy, policies and standards; monitors compliance; and ensures data quality. This approach makes adapting to major changes and shifts within your organisation easier.
99.99% Data Reporting Improvement: The Scholl's Wellness Company Story
Discover how TELUS Revenue Growth Management Analytics transformed their data management processes, turning two-week reports into minutes of work.
Why your CPG company needs data harmonisation software
Without data harmonisation software, it’s challenging for CPGs to extract accurate and impactful insights from their disparate data. This can lead to poor analysis and questionable decision making.
CPG companies that don’t harmonise their data are operating in a data swamp. They need to collect, store and analyse their data sets on an ongoing basis from a variety of sources, including:
Retail syndicated and POS data
Consumer and shopper panel data
ePOS
Data harmonisation software can do a lot of the heavy lifting and empower CPGs to make sense of their data.
What problems do CPGs face without data harmonisation?
Inconsistent Product Data Across Retailers
When selling through multiple channels, a single SKU often arrives with mismatched names, sizes, or categories depending on the retailer’s data feed. This fragmentation stalls accurate performance comparisons and forces teams into manual spreadsheet reconciliation.
The fix requires automated data matching. By using machine learning to automatically resolve these naming discrepancies into one standardised description, brands gain true apples-to-apples visibility.
Delayed and Inefficient Reporting
By the time manual performance reports are compiled, the next promotional cycle has already begun. Analysts waste days extracting data from syndicated, POS, and trade spend spreadsheets, leaving no time to actually act on the insights.
The fix is centralised, automated data ingestion. Once source data is automatically cleaned and structured into a single schema, reports build themselves instantly.
Solutions like TELUS Revenue Growth Management Analytics are able to solve these problems head-on, able to standardise product-level inconsistencies and provide automated reports based on multiple data sets.
"TELUS Growth Management Analytics has been transformational to our approach to insights and analytics at Scholl’s Wellness Company. They have harmonized all of our POS, Shipment and Syndicated Data sources into a single source of the truth."
Kate Godbout
Chief Marketing Officer, Scholl's Wellness Company
How to choose the right data harmonisation software for your business
New data harmonisation tools are regularly introduced, so as a consumer you need to determine which tool best fits your business model.
What to look for:
When selecting a data harmonisation software solution for your business, it’s important that the software you choose can handle:
Managing original data sets from diverse retail sources
Data transformation capabilities for complex integrations
Presentation tools for executive reporting
Analytics functionality for actionable insights
Harmonisation at scale for enterprise operations
Many companies invest in software that specialises in one, but not all, of these areas. This leads to less effective data harmonisation and missed opportunities in the US market.
TELUS Revenue Growth Management Analytics
When it comes to which data harmonisation software solution to choose, TELUS Revenue Growth Management Analytics ticks all the boxes. It’s a top-tier solution built for CPG manufacturers by industry experts. It’s designed to harmonise data and adapt to each company’s unique needs.
Key features
TELUS Revenue Growth Management Analytics enables you to:
Harmonise your data from multiple sources
View your business more holistically across all channels
Get started with minimal set up
Easily customise the software to your needs as you go
It empowers your business to view your data across multiple platforms, including:
QuickTABS. A user-friendly reporting tool based in Excel, similar to a pivot table but more powerful.
Account Insights. A custom data integration strategy and dashboard that integrates retailer-specific point of sale data, electronic data interchange feeds, shipment and financial forecasts.
Market Insights. A tool that uses market-level data from Nielsen, IRI, and SPINS.
Promo Insights. A dashboard that shows promotional spending analysis.
Presentation Builder. A presentation platform that allows you to present your findings internally or to your buyers using visuals.
If you’re ready to enhance your business decisions, unify data and get a clear view into your performance, it might be time to try data harmonisation software.
Want more information on how TELUS Revenue Growth Management Analytics can help you master data management with data harmonisation? Request a demo with our experts today to learn more about the data harmonisation process and the unique features and benefits of TELUS Revenue Growth Management Analytics.

