I was a duplicate Record!

As a point of contact for Recruitment agencies at our company, I regularly receive telephone calls from them promoting their services. This week I received a telephone call from a large online recruitment agency. As the caller started “his script” it felt very familiar and I very quickly realised that I had received the very same telephone call from this company a week ago. I listened politely to what he had to say and then I explained to him that we did not require his services at the moment and pointed out to him that I had been called last week by someone from his company. He assured me that from my records I was last called in June. I was 100% certain that I received a call from this agency last week. He finally admitted (quietly) that there was probably a duplicate record of me on their system! This situation was embarrassing for the caller and an interruption and annoyance to me. Last week, as a company we also received a letter from a large supplier informing us that they were changing their system and […]
By |August 26th, 2014|Blog, Data, Data Quality|Comments Off

7 Stops on the Route to Data Quality

The road to quality data can seem like a long, difficult journey. But it’s one that every business eventually needs to make. As data ages, the business becomes less efficient; it’s not possible to maintain operational efficiency if you can’t make robust decisions. Like many tasks, data quality is best viewed as a long-term concern, and something that will be tackled in controlled phases. We’ve split the journey into seven distinct parts. Each one is a stop you’ll make on the way.   1. Get Out Of the Pit When tackling a data quality problem, taking the first step is often the most important part of the process. With a long, difficult challenge ahead, it can be surprisingly difficult to get the wheels in motion. To make progress with any problem, we have to recognise it and stop denying its existence. Own up. The organisation has a data quality problem; it’s not impossible to fix. Most – perhaps all – businesses will eventually find themselves in the same position; […]

Improve Data Quality by Playing as a Team

Data warehouses are key to the way modern businesses make decisions. The data warehouse is the hub of business intelligence. A data warehouse is essentially a repository where data is stored, organised, categorised and integrated into various systems. Data warehouses receive data from many sources. According to industry research, 95 per cent of Fortune 500 companies use data warehousing, or are planning to develop a data warehouse. However, potential failure rates are high – between 50 per cent and 90 per cent. Understanding failure is key in preventing negative outcomes. Why Data Quality Matters According to the International Journal of Latest Trends in Computing, there are 20 factors affecting the success off data warehousing projects. Reasons include poor data quality, the failure of management to recognise the benefits of data warehousing, and a knowledge gap between researchers and practitioners that prevents meaningful progress. Ted Friedman, one of Gartner’s key analysts, said “Consistency and accuracy of data is critical to success with business intelligence, […]

Picture Perfect Customer Data

In today’s data-driven world, with so many points of interaction with customers and so many data points about customers, pointing to a consistent and comprehensive representation of customer data is a complex challenge. This is why maintaining a customer relationship management (CRM) system with a current and complete picture of every customer is more important than ever. Your business needs every customer interaction to have the benefit of accurate, up-to-date data, such as name, postal address, telephone number, and email address. Unfortunately, even when you achieve accurate, up-to-date data it doesn’t stay that way because data decays. Customers get married, move, change phone numbers, and switch their primary email address. Snapshots of customer data are taken from different sources, which do not change at the same time, and not all customer data attributes within a source stay up-to-date. For example, a call center might be the best source for telephone number, while a billing system could be the best source for postal address, and confirmations sent by a self-service web portal may verify the best email address. External reference databases can also provide alternative […]

Data Cleansing and Enhancement

If you follow the DQ Global blog, you’ll be aware that we often write articles on data decay: the rate at which data becomes unusable. This is one aspect of the challenge businesses face as they build contact databases. While data quality is partly affected by the method of capture, data is also subject to natural decay that will cause a database to become less useful over time – even if data is captured correctly on day one. Data decay is a costly problem that no business can escape; the cost of fixing broken databases increases as the data becomes more decayed. Additionally, the cost increases if the record is left unchecked. According to DQ Global estimates, 20 to 30 % of business data decays each year, which means most business databases will unavoidably suffer without robust data quality initiatives. Our numbers relate specifically to B2B data, including details of companies and employees. When tackling data decay, there are two key processes that will heal the dataset and […]

Data Quality – who’s responsible?

The answer is – everyone in the business.  Unfortunately, all too often no one seems to take responsibility or realise its value. So just why is data quality so undervalued?  The underlying reason is that there is a denial mindset regarding ownership of the data content.  In many organisations, IT builds and owns the database container and the data users take ownership of the content, or perhaps not.  It’s the classic ‘Everybody, Somebody, Anybody, Nobody’ no ownership story: Data quality management is an important job and Everybody is sure that Somebody will do it.  Anybody can do it, but Nobody does.  Somebody got angry about that because it was Everybody’s job. Everybody thinks that Anybody can do it, but Nobody realises that Everybody won’t do it. In the end, Everybody blames Somebody when Nobody does what Anybody could do. Accurate data is undoubtedly the cornerstone of industry, but a lack of standardised data prevents efficient information exchange between departments and subsidiaries and impedes decision-making and understanding of business problems.  Paradoxically, many businesses have masses […]

Why Data Should Be a Business Asset – The 1-10-100 Rule

If you run a business, or even just run a household, you’ll understand that chaos creates waste. How many times have you rushed to find an important document, such as a birth certificate, only to have to pay out for an emergency replacement? How many hours have you wasted searching for lost keys, lost passports and lost letters? How many times have you wasted money on an emergency callout for a problem that could have been located and fixed? Just as chaos at home is disruptive, disorganisation and chaos can have huge effects on business profitability. If employees don’t work to conventions, they risk creating problems for themselves, and for other employees down the line. Use of IT systems is strictly controlled for precisely this reason, and businesses work hard to ensure that data is stored in a controlled way. Otherwise, the chaos spreads like a virus. But what happens when data is captured correctly, then naturally decays? Even the best laid plans cannot protect against this inevitable, and costly, data […]

What Good Data Means to a Busy Marketer

When discussing data quality, marketers have an interesting point of view. They don’t view information in terms of mass trends, even though that’s essentially what a market is.         Every marketer has five key concerns: How will I retain customers? How will I build trust with clients? How will I meet targets? How will I meet deadlines? How will I ensure profitable outcomes for the people that pay my salary? The marketer has a single, personalised view of prospects and wants to deliver the right message at exactly the right time. In order to close the loop, the marketer needs to ensure they get meaningful data as a foundation of a marketing campaign. They are utterly reliant on data quality to produce accurate reports and improve customer satisfaction. Planning, Not Fixing At DQ Global®, we often hear data being blamed for poor marketing campaigns once they’ve failed. Despite this, businesses frequently fail to address data quality challenges before the campaign begins. For marketers, quality data is important. They need information that is: Fit for purpose Relevant Trusted Absolute Accuracy in Data Marketers need to know that data is reliable before the campaign begins. To […]

Common CRM Data Problems

When setting up a CRM, businesses make the mistake of thinking their data is evergreen. But data that is fit for purpose today will not stay that way forever.           When was the last time you checked your data for C.R.A.P? Is it Corrupt, or is it Correct? Is it Rubbish, or has it been Re-purposed? Is it Abortive, or is it Appropriate? Is it Poor, or is it Perfect? Data quality research reveals some startling statistics about, well, C.R.A.P. In the average business contact database, up to one third of the data could be of poor quality. That means a relatively small database with 50,000 customer records could contain 15,000 that are flawed in some way. But it’s important not to be downhearted by the challenge. Many of these flaws are caused by extremely common problems. If your business is suffering from data decay, it’s in the majority; most area. Once you realise the problem, take ownership and look positively at […]
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    Data is the future and our aim is to make your data fit for business

Data is the future and our aim is to make your data fit for business

Data is the future…and our aim is to make your ‘Data Fit or Business’ At DQ Global® we have been developing our Data Quality Software for over 20 years and we have gathered a wealth of knowledge and experience in that time. Working with DQ Global®, clients across a variety of countries and industries have capitalised on their investment in business data and CRM systems. Armed with accurate and reliable data our customers have been able to achieve a single customer view, improve operational efficiency, make better informed decisions and improve customer engagement. . Take a look at our new video and contact us for more information on our Data Quality Software.