Driving Key Supply Chain Insights Through Improved Data Visibility

With its origins in Zurich, Switzerland, Lindt & Sprüngli has grown to become a global leader in the premium chocolate sector over the past 175 years. Quality chocolate products by Lindt & Sprüngli are made at 11 of its own production sites in Europe and the USA. They are distributed by 29 subsidiary companies and branch offices, in about 500 branded stores, via a network of more than 100 independent distributors around the globe.

Cumbersome Legacy Reporting Tools, Limited Supply Chain Analytics

In support of their development and growth across Canada, Lindt recognized the need for improved business intelligence and data-driven decision-making and became an IBM Cognos customer over 20 years ago. Although Lindt’s usage of Cognos has significantly evolved over the years, they have primarily focused on developing analytics solutions for their sales and marketing functions. After a recent review of their use of analytics throughout the organization, it was clear that the supply chain team had been underserviced. John Walter, IT Director at Lindt Canada says, “the supply chain team was using legacy reporting tools that required them to gather data from various sources, drop it into a big Excel spreadsheet and manually slice and dice it to produce some form of analytics.”
The supply chain team had ultimately created their own data warehouse in a massive Excel file, filled with complex calculations and lookups. In addition to the time and effort involved in maintaining such a file, this siloed approach to data management resulted in a number of problems, including the inability to easily share and visualize insight across the organization, minimal integration with other data sources, limited data quality and governance controls and a lack of automation.
Lindt saw an opportunity to collaborate with key stakeholders on the supply chain team to identify key priorities and then migrate some of their solutions out of the legacy applications and move them to a modern analytics tool set. This would provide the supply chain team with their own dashboards and analytics and their own data sets while leveraging the same Business Intelligence (BI) platform used by the rest of the organization.

“The supply chain team was using legacy reporting tools that required them to gather data from various sources, drop it into a big Excel spreadsheet and manually slice and dice it to produce some form of analytics.”
– John Walter, IT Director at Lindt Canada

Leveraging Modern Analytics Functionality Using the Existing BI Platform

Knowing the scope of the project, Lindt immediately selected Newcomp Analytics as their preferred partner. John says, “We’ve worked with Newcomp for many years. They are a trusted provider for us, for both resources and solutions.” John goes on to describe his consideration factors when selecting third-party advisors for analytics projects. “Having CPG experience, technical abilities, and communication and collaboration skills are all the hallmarks of a good consultant. Newcomp has a team of qualified consultants and is successfully able to recruit, retain and develop professional services resources that do this type of work.”
Newcomp’s approach for this analytics project involved working with the existing technology stack at Lindt, including IBM Cognos Analytics, Microsoft SQL Server, and Microsoft Server SSIS. While Lindt’s existing technology relied heavily on legacy Transformer cubes, the proposed solution involved leveraging more modern Cognos Analytics 11 functionality, including Data Modules and the Dashboarding Tool.
Newcomp worked closely with the Lindt supply chain team, interviewing the business users to gain a better understanding of the source data and the required outcome. The delivered solution ingests numerous flat file data sources, integrates them with ERP data, and then processes several calculated metrics to provide a consolidated view within Cognos. A dashboard is used as the focal point for tracking high-level KPIs using the data. John describes the process, “It involves inbounding new data feeds from our transportation providers, from our warehouse, making sure that we’re able to link and join those right to our master data, our customer and product data and then present the information in a meaningful way to draw insights.”
As the ability to manually modify inbound data files prior to ingestion was required, Newcomp introduced strict protocols and sophisticated error handling and notification to assist the Lindt team when processing inbound data. 

NEWCOMP'S APPROACH

Leveraging modern analytics functionality using the existing BI platform

Newcomp’s approach for this analytics project involved working with the existing technology stack at Lindt, including IBM Cognos Analytics, Microsoft SQL Server, and Microsoft Server SSIS.
Lindt’s existing technology relied heavily on legacy Transformer cubes.
The solution leverages modern Cognos Analytics 11 functionality, including Data Modules and the Dashboarding Tool.
“There are a number of components that have to come together in a project in order for it to actually work and it requires a rather broad and pretty deep set of skills. The Newcomp consultant who worked with us on this project is a great resource. He’s someone who is very trustworthy, very smart, well-spoken, a good collaborator, and ultimately gets things done, which is amazing.”
– John Walter, IT Director at Lindt Canada
Team icon

Improved Access to Quality Supply Chain Data Increases Speed to Insight

The solution deployed by Newcomp Analytics was successful in helping the supply chain team reduce their reliance on Excel for managing and consuming data and minimizing the time and effort required to work with the data. The data ingestion process has significantly improved data quality and governance. Data quality has also improved through the introduction of automation, designed to eliminate user error in manually merging and preparing calculations. The consolidated view of data that is now available through the enterprise data warehouse and Cognos, has dramatically increased the speed to insight and the ability of the supply chain team to share and visualize high level KPIs from their own dashboards and data sets.
“Giving the supply chain team the ability to drill in and better understand their data will allow them to make key business decisions that will have a positive impact on the Lindt business.” Building on the success of this project, Lindt continues to work with Newcomp to improve their supply chain analytics with a project focused on designing a new planning and reporting process leveraging IBM Planning Analytics and IBM Cognos Analytics. John reflects on Lindt’s long-term partnership with Newcomp; “What keeps us going back? It’s about trust. It’s about doing what you say you’re going to do. It’s about delivering value and ultimately, getting things done. Consistently.”

The Outcome

01

Reduced reliance on Microsoft Excel

Reduce their reliance on Excel for managing and consuming data and minimized the time and effort required to work with the data.

02

Improved data quality

Manual calculation user errors eliminated with the introduction of automation.

03

Improved The data ingestion process

The data ingestion process has significantly improved data quality and governance.

04

Consolidated View of The Data

The consolidated view of data has dramatically increased the speed to insight and the ability of the supply chain team to share and visualize high level KPIs from their own dashboards and data sets.

Newcomp Analytics Logo
IBM logo

REVOLUTIONIZING BUSINESS THROUGH ANALYTICS

We partnered with IBM because we know you’d rather have deeper insights in hours than weeks. IBM empowers organizations to make smarter decisions through every stage, spanning every kind of industry. With a portfolio that covers the entire ecosystem of data, IBM provides analytics solutions that fuel digital transformation. Available on the cloud, on premises or in hybrid deployments, IBM provides flexible offerings to answer the toughest business questions, uncover patterns and pursue breakthrough ideas.