Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…

We all set New Year’s Resolutions. Unfortunately, research suggests that 63% of us break them within just one month. However, if there is one New Year’s Resolution that you must stick to, it is surely to improve the quality of your business data.

According to Gartner more than 75% of companies…

People change jobs, get promoted and move home. Companies go out of business, expand and relocate.  Every one of these changes contributes to data decay. It’s been said that business databases degrade by around 30% per year, but why?

A report by IDG states that companies with effective data grow 35% faster year-on-year. However, for this to…

In this post we provide you with seven ways you can improve the quality of your data and ensure it is fit for purpose.

Constantly improving upon the quality of your data is essential to remain ahead of your competition. Failure to keep your data up to date will result in a 30% erosion in the value of your most…

More and more businesses are waking up to the threat of poor data quality. We’re gradually seeing the risk being taken more seriously as the shockwaves of poor management are felt.

Yet for many businesses, data quality is seen as an abstract concept; difficult to understand, and impossible to…

How many times have you heard managers and colleagues complain about the quality of the data in a particular report, system or database? People often describe poor quality data as unreliable or not trustworthy. Defining exactly what high or low quality data is, why it is a certain quality level and how to manage and improve it is often a trickier…

How do you look after your valuables? Do you use a safe deposit box, or a postcode marker pen? You probably have software installed on your smartphone to track it if it gets stolen, and no office is truly secure without CCTV.

Taking care of business assets is key to managing profit and growth, yet many businesses don’t protect their data in the same way they protect…

There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification – the process of continual improvement and regular checks. 

Often, businesses ask…

Data exists in a dangerous state of near-non existence. Few businesses would risk not having backups in place. With cloud computing becoming commonplace in enterprise, we’ve come to accept that our data will be replicated and stored in duplicate.

Even data that is intentionally deleted can often be recovered. When Yahoo! purchased Geocities,…

Personal data has an image problem. People are increasingly wary of handing over their details to websites – particularly when they have no intention to engage long term. Many marketers set out to obtain email addresses, yet do very little to ensure the email addresses they get are valid. This is the beginning of a vicious circle for the business they’re working…

In the old days, you knew who to contact to make…

Good data is the driving force behind successful marketing. Data can be analyzed to determine what your customers are looking for, what will drive them to purchase, and to establish a best prospect profile. According to a report by GlobalSpec, the primary marketing goals for manufacturers are customer acquisition (43%) and lead generation (29%), with 54% planning to increase marketing spend.…

There is often confusion between the definitions of "data veracity" and "data quality".

Data veracity is sometimes thought as uncertain or imprecise data, yet may be more precisely defined as false or inaccurate data. The data may be intentionally, negligently or mistakenly falsified. Data veracity may be distinguished from data quality,…