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Essential guide to better data A data management guide for people who know that their data is their competitive edge

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Essential guide to better data

A data management guide for people who know that their data is their competitive edge

Essential guide to better data

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We help you get more value from your

data. We don’t just mean that you will earn

more money; we mean that you and your

organisation will be able to do what you

do only better which is great for your

customers too. Let’s unlock the story

behind your data.

The guide splits the journey into three

steps to achieving effective data

management to ensure your data assets

give you a real competitive edge by

gaining a better understanding of your

customer.

Let’s start planning your journey to better

data

> Step 1: Consider what you want to understand from your data. > Step 2: Create efficient data capture, storage and integration.> Step 3: Build insight from agile data sources to grow your business.

Add value to your

data project with

planning and design:

know your destination

then plan your route

avoiding wrong turns

along the way.

Essential guide to better data

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Who should read this guide? We wrote this guide to highlight some of the ways that better data management can have a big impact on many areas of your business. We have divided the guide into sections to address specific issues relevent to those of you working in Commercial, Marketing and IT departments. Each section then takes you through a 3 step process to provide ideas on how to improve the value of your data.

CEO & Commercial Directors: Data led business growth

Stock control: Is a product complaint a one-off issue or a problem with the whole stock line?Sales: Why is a product line under-performing in comparison with the sales forecast? Customer retention: How do you differentiate between new and existing customers?Time management: Who are my most and least valuable customer types?

Marketing: Using data to understand your customer

Return on investment: Which list provider is giving the best value in terms of data quality?Data quality: Where is all the ‘dirty data’ coming from?Customer segmentation: How do I recognise low frequency high value customers?

IT Managers: Complex data integration and big data volumes

Business continuity: Can I increase reporting capacity with limited impact on data transactions?Data migration: Our data is too complex and spread over too many sources to report from.Agile data storage: We are constantly growing so if I invest this year in data storage will I still have to upgrade it year after year?Data analytics: How do we introduce data analytics into our business forecasting models?

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> Step 1: What do you want to learn from your data?CEOs and business leaders need to receive data that is up to date, accurate and predictive to better inform their business strategies. This data needs to focus only on important and actionable information.

Case study 1: Retail stock quality control

The Commercial Director visits a store and the store manager mentions that quite a few customers have made negative comments about a product. Although this is helpful to know it is difficult to assess whether it is a localised issue cause by bad storage or simply the tastes of this particular store’s demographic. It could be a more serious national issue caused by a problem at the supplier and needs urgent attention.

Intervention: By helping the client to put in place a good quality internal sales reporting system their analysts can now quickly investigate the product sales patterns locally and nationally.

Gain: The client is able to determine that the issue is a localised problem with a supplier and deal with the situation proportionately.

CEO & Commercial Directors: Data led business growth

Essential guide to better data

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What you can do next

> Download all of our client case

studies to find out how we can help> Call us or email Helen Woodcock

to discuss your data project > Follow us on Twitter @KETL_BI to

get the latest Big Data news

Ian Cray has over 25 years experience extracting, moving and visualising data for a wide variety of companies from small charities to large multinationals. His passion is helping clients extract clean and valuable information from data.

Simon Sleight has over 20 years of experience including being an Application and Systems Architect to a £2.5 billion turnover company and an award winning e-commerce developer and consultant. He is also a very talented coffee maker.

From KETL you

really get the

feeling that client

interest is very

important to them

and this is a rare

quality to find.