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Get insight ready! How to clean data in 7 steps

We all know about the importance of clean, accurate and all-round dependable data for great marketing. But how many of us actually achieve it? In this article we outline the actions required to ensure you have reliable data.

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How to kickstart your account-based marketing strategy

Making a start with your account-based marketing strategy can seem an overwhelming prospect. This blog post provides a detailed summary of how to begin. It will surely help point you in the right direction…

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Yet to truly ace ABM? Here’s why you should…

The benefits of account-based marketing (ABM) have been much vaunted in recent years. Yet achieving excellence is still a common struggle for marketers. This call-to-action should help invigorate your commitment to this vital tool of sales and business growth.

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The future of data quality: why automation holds the key

In this article, we explore how technology holds the key to ensuring data is accurate, up-to-date and ready for use. In today’s regulatory climate, it’s not just good for business: it’s essential for legal compliance.

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Take control! How to get started with a data governance programme

Data-driven technologies are evolving at a fast-rate and global regulators are striving to implement laws which safeguard the rights of citizens. So how do YOU keep up? The answer is effective data governance. Find out what it is and how to get started…

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Get clean and stay clean! Why you need a data quality strategy

Any company which is dependant on data needs data which is… well… dependable. But how many actually have a data quality strategy? And what are its key components? Read on to find out…

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How to build a data strategy: a step-by-step guide

In an era where data overwhelm is the norm, a data strategy that actually works is a rare commodity. Here we offer a practical guide on how to build a data strategy featuring expert commentary, data strategy templates and some of the best resources on the internet.

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The cost of bad data: have you done the math?

Bad data is bad business. Indeed, organisations believe poor data quality to be responsible for an average of $15m each year in lost earnings, according to research by Gartner. Here we reveal the cost of bad data and why it might be time to clean up your act.

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Are you addicted to bad data? Get clean and stay clean

The growth of data and its strategic importance to organisations of all sizes has thrust the issue of data quality into the spotlight. Our new whitepaper – in collaboration with data and insight specialists, REaD Group – examines the scale of ‘bad data’, its implications for businesses and what can be done about it.

“The old adage ‘garbage in, garbage out’ has never been more true or more important for businesses. Good quality data means better business decisions, better marketing and more profitable relationships.”

– Jon Cano-Lopez, CEO, REaD Group

Organisations’ believe that inaccurate customer data costs them, on average, six per cent of their annual revenues, according to the Royal Mail. Perhaps more worryingly, over a third are not even sure how much it costs them.

Tackling this problem should be a business priority. In light of the GDPR, clean data is no longer a preference for companies wanting to improve their ROI: it’s now a business fundamental.

In this 22-page whitepaper, you will learn about:

1. The data quality challenge for businesses today: The cost of bad data, its scale and how clean data has become essential in today’s economic and regulatory climate.

2. How to build a data-aware organisation: Learn how to develop into a mature, data-informed organisation, and how this provides the bedrock for maintaining clean data.

3. How to get clean: The key constituents of a data clean-up operation: The 7 essential data cleansing activities which will transform your data streams into a trusty source of insight.

4. How to stay clean: The future of data cleansing: Effective data cleansing methodologies are set to become increasingly important as new technologies emerge which rely on good data.

5. The key questions to ask your data provider: Discover whether your data providers are providing you with accurate, up-to-date and legally sourced data by asking these 8 key questions.

Download the whitepaper below and rid your company of the scourge of bad data!

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Q3 data technology round-up: grappling with the rules of engagement

Our latest Data Briefing featured a Q&A with Barry McNulty, Head of Data at Hyde Housing Group. He reveals the impact of data and technology on the housing industry: the good, the bad and the difficult.

We also cover Simon Blanchard’s talk on safeguarding new data solutions and Robert Bond’s analysis of privacy in a world of fast-evolving technology.

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