Friday, December 27, 2024
Technology

Goodbye big data, good information that is hello? Data quality is king

Almost a quarter (23 percent) of of the data organisations maintain is thought to be incorrect, according to our Experian Global Data Management Research 2016.

39% have 50 or more databases of contact information, up from 10 percent in 2014.

When it comes to data quality, 2017 will be a difficult year, together with organisations throughout the board striving to address also the pressures of new regulations along with the challenges of open information.

Effective and accurate execution – particularly in marketing — depends on quality information. Today’s consumers are more demanding than ever, yet 76 percent of companies believe info that is inaccurate is endangering their ability to give customer experience.

The Demand for quality

A growing number of businesses will look to use data as a differentiator, adding features to derive wisdom and insight on top of their base.

For the ones that have already reached that point, the following step would be releasing insights to societal advantages partnerships and boost innovation. Nonetheless, in order to be useful, let alone effective, the quality of any data have to be ensured.

So as to be helpful, let alone powerful, the grade of any data utilised, shared or chosen needs to be assured

Open data publishers will be put under pressure over the subsequent 12 months to use their users to ensure data is of a top quality, maximising the ROI of planning, promising, and releasing it.

Brands need to think about the procedures they have in place, especially with the essentials of the forthcoming General Data Protection Regulation (GDPR). Practice is essential, but there is a huge industry opportunity there for the taking.

By way of instance, I talked to one customer who has held, and continues to market to clients and prospects.

Why?

Once you have an in-house email capability, because it’s simple and non-costly. Never mind the bounce-backs. It’s deemed considerably harder to review and change data relevance policies and their contact, but they are prepared for change.

Good data is better than large data

Marketers will need to reassess the context of data.

They must consider what insights assist clients and partners, or they can safely share to improve efficacy.

Marketers could begin looking at sources of enhancement or location information to aid with business or regulatory needs, such as risk, value creation or revenue-assurance.

Information will likely become smaller

Yet with consumer empowerment on the increase — as well as an increased focus on quality insights, data will likely become smaller. My example is a great case in point. That advertising database could be reduced by 75% after it has been standardised, trapped, de-duped and suppressed.

This may seem like a marketer’s worst nightmare, but it should be regarded as a positive – not as storage, better ROMI sound and happier customers.

The management of data, the elimination of duplicates, the production of records that are gold, and the requirements for opt-ins stored, will result in consistent and more accurate customer relationship management capacities.

Marketing should embrace this data development, not resist it becausegoodinformation is far better thanbigdata.

As organisations, we should be thinking about what we can do serve customers in locations where the net may not be at high speeds, where mobile devices are their sole access points, where English isn’t their first language, and where they may not have fixed addresses.

We ought to be considering what we can do function consumer

Thinking with this wider outlook could create opportunities in new and existing markets. People ‘tier two’ markets, felt perhaps too difficult to reach, might be re-evaluated using a new data lens.

If an organisation can observe two things they’ll be that their data and company is both ready for GDPR, also that they’re using their data to contribute to a more open yet secure society.

Society is prepared for this. All it requires is to become ready and able to take the data challenge up and lead the way.

The question for the prepared is, how exactly do you intend to move?