Keeping your data safe and secure

I guess there aren't many of us that haven’t had that “clammy brow, heart-sinking, call to IT for a file restore” moment. Most of the time, forgetting to hit save or a computer crash resulting in the loss of a few hours work can make for a very frustrating late night.

With so much key data collected and held by organisations, it is important for data teams to protect such a valuable asset on a number of different levels. With internal user error to attempted outside hacks all possibilities, here are Loaded Dice’s top 5 ideas for keeping data safe and secure.

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Supercharge your data and statistics

Here at Loaded Dice we talk a lot about how to get and use data and speed up processes. We don’t often talk about why organisations gather data and the opportunities that might be missed when they do.

Some organisations gather and hold data in ‘silos’ meaning limited access to the wider organisation, restricting usefulness or focusing on just one aspect of what the data is saying. Thinking about data differently means you can get more out of a unique and hard-worked-for resource, as well as keeping you on the right side of regulations.

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Remove the admin burden of data collection

With so much more data available, there is a growing appetite for reducing the time spent on the admin part of data gathering to using that time for analysis and interpretation.

Many organisations are looking to automate their processes. But where these types of projects often become difficult is to know where to automate, and at which part of the process to start.

Lots of commentary around data management is about Artificial Intelligence (AI), Bots and Machine Learning. So that might seem like a good place to start, surely?

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What if we automated this process?

These days new products and software help and support us in our everyday lives. As with many new ideas it's just about those lightbulb moments … ‘what if we automated this process?’.

It’s only within the last two centuries that automation really took hold. The first automated wool spinning mill started the industrial revolution and aircraft first flew by autopilot, a 100-year-old idea that has been reinvented into my smartphone telling me where I am, where I should go and how I should get there (I’ve not looked for a wool spinning app yet).

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Data visualisation

In preparing data for DataLab and seeing some of the coding that sits behind our work, it often seems that patterns in data produce a form of art. Fortunately, it isn’t just me needing a break. When you start looking, there's lots of inspiring art made from the visualisation of data that go above and beyond the humble interactive CloudCharts. Here are two examples I came across recently.

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Time to get your data in order

The European Union agreed a new set of data protection rules last year, and they come into force next. Four years in negotiation, the General Data Protection Regulation (GDPR) harmonises data privacy across the EU and will impact organisations controlling or processing personal data.

Here’s a summary of the key changes:

• Increased Territorial Scope: The new rules apply to all organisations that process personal data of subjects residing in the EU, regardless of company location or where processing is undertaken.

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What is Big Data?

We built DataLab because we were frustrated with spreadsheets used to gather data getting so big that they’re impossible to work with. There’s just too much data to link, aggregate, check and validate, making them time-consuming to manage and more difficult to get useful data from.

As others see their datasets expanding and hear more about Big Data, I get asked about it and ‘Should I worry?’ more times now than my name. So, here is a quick introduction to Big Data, according to Loaded Dice.

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