Every enterprise has a mix of software solutions to address the various challenges they experience in their data management lifecycle. Data governance, data protection, and security, native storage and hybrid cloud management, data cataloging , data accessibility, reporting – are just some of the data challenges data stewards deal with daily.

When you are working as a data analyst for a company, you will often find difficulties in getting your hands on data. When proper data is not available, it can also be challenging to analyse it on time. This is where you need to think about using a data catalog.

Every minute, 1.7 megabytes of data is created for every person on the planet. All 7.3 billion of us!

In its latest report Gartner suggests that 80% of this growing data in unstructured and business data. So even with data storage becoming cheaper are we up to the challenge of managing this explosive growth of data?

Get your data ready for AI with IBM Could Private for Data  

At the Dot Group, we can’t stress enough about the importance of a robust information architecture in order to monetise your data. Artificial Intelligence enabled analytics can provide insights into customer behavior, business operations and offer a humongous opportunity for business to provide personalized/exceptional customer service, reduce the cost of operations and create offerings to beat competition. However, let’s not forget that AI and analytics are only as good the quality of your data.

Cognitive capabilities and hybrid cloud technology are playing an increasing part in how industries utilise their data. Discover how data management platforms are transforming customer care.

As customer expectations rise, so too is the awareness that companies need to meet rising expectations if they want to thrive in today’s marketplace. But while many businesses will admit to prioritising customer service, it can be difficult to make effective decisions in this area without the means of gathering and analysing the data needed to back them up.

The question that gets to the heart of this is: “Are you confident you know what you’ve got lurking around your networks, and where?” However, this risks oversimplifying what is an incredibly versatile business asset. Let’s examine where we are today, and why Discovery is a tool you should be relying on. So what are typical use cases for intelligent discovery software?                                      

How much confidence do you have that you know what’s lurking in the dark corners of your server room, or in that datacenter you only just realised you’re still paying for? What about sensitive data uploaded to a semi-public cloud that really the HR department should have stopped using several years ago? Efficiency savings, regulatory compliance and a tight security posture are all top priorities for any IT leader. But visibility underpins them all. 

Whether you’ve already got a DPO in place, or are still trying to find a candidate with suitable experience, an outsourced DPO-as-a-service is something many SMEs are turning to to fill gaps with parental leave or holiday cover, or in cases where organisations don’t require the services of a full-time professional. Let’s examine a couple of the key reasons people look at this option.

It seems to happen almost weekly nowadays: another massive brand hit by a data breach, with no real understanding of how or when it happened, or how many people are affected. The media - and the information management community - have been waiting for a GDPR test case since the legislation was first dreamt up. We sat down with Simon Parkinson, COO at Dot Group, to talk data maps, asset registers, subject access requests and other tricks that ought to go some way towards keeping you and your organisation out of the headlines!