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Other Directories, Comparisons, Research 2010 Data Warehousing, Business Intelligence & CPM (February) View from the Top: The ...

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Summary of Reports

 CALUMO

 COA Solutions

 Crimson Systems

 DataFlux

 IBM

 Infor

 Kalido

 Rinedata

 Swift Computing

 Tagetik

 Teradata

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Management Briefings



 Market Overview & Analysis: Conspectus’ latest research | Part 2

 Expert Opinion: IPL's Chris Bradley

 View from the Top: The Co-operativie - Food Retail | Part 2

 BI: Taking the Right Direction: Acestar's Clive Margolis | Part 2

 Now and For Ever: Graham Spicer of SolStonePlus | Part 2

 Blame Game: Element Six's Peter Thomas | Part 2

 Into Analysis: Philip Howard of Bloor Research | Part 2

 Best of Both Worlds: Anari's Nigel Dowden | Part 2

 BI and SOA: Making the Leap: Bikram Sankar Das of TCS | Part 2

 Is the Mid-Market Missing Out?: Quocirca's Clive Longbottom | Part 2

View from the Top - Part 1 | Part 2

  PROFILE

Mark Hale

Company: The Co-operative – Food Retail.

Interviewee: Mark Hale.

Job Title: Director of IS.

The Subject: The Co-op’s retail food business is using a central data warehouse and BI engine to provide vital sales trend and product performance data on over 2 billion customer shopping baskets daily.

PERSONAL FILE

NAME: Mark Hale.

BACKGROUND: Mark began working in the Co-operative Group in 1992, following an earlier career in heavy chemical companies ICI and Shell. At the Co-operative he has worked in numerous roles in four areas of the business – Food, Travel, Pharmacy and Funerals.

Whilst generally working in information systems – in areas ranging from technical infrastructure to development and projects – Mark took on the additional challenge of becoming interim managing director and director of strategy & business development for the Co-op’s Travel business.

He is currently director of information services for the Co-operative Food business and is a member of the Food Executive and the Co-operative Group IS leadership team.

Mark has a Masters Degree in ‘Managing IT in Business’ which he obtained through a part learning programme with Salford University. Married with two children, he is a huge sports fan and a passionate Liverpool FC supporter.

Q: HOW DO YOU USE YOUR DATA WAREHOUSING SYSTEM?

A: We have been a Teradata user for about 15 years and have built up many man years’ experience in using its capabilities to provide a core element in running our food retail business.

It is part of our central trading systems portfolio and provides a central repository for all the information collected from our EPOS (electronic point of sale) systems in our stores.

Currently we hold over 20 billion rows of EPOS data. Every night we load and process over 25 million rows of data from our 3,000 stores to produce a range of reports and analysis on our business performance by the start of the next day. Therefore our previous day’s sales data is available for users by 7.00am the next morning.

Sales trends and product category performance is absolutely key for us – it is crucial to know, as soon as possible, how well and where products are selling.

The central repository stores details of all the transactions, which enables ‘basket-level’ analysis. In addition to what the baskets contain, we also know if the customer was a member, how the items were paid for, which promotions they triggered, the promotional discount the customer received and any other reductions that were given.

This allows us to understand in detail the buying patterns of our customers and members. We hold data on over 2 billion customer baskets containing over 12 billion items.

One area of focus is interpreting the performance of a particular product or category of product. For instance, if we are promoting say Coca Cola this week, then we can analyse how it is performing against competing products. It is this sort of product performance statistic that we use extensively.

We also perform a range of KPI (key performance indicator) reporting on wastage, leakage, margin reporting and other key information. For example, we have a KPI for the percentage of our sales that are made through promotions – we can analyse whether customers are just buying the special offer without making any other purchases.

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