The General Data Protection Regulation & The Duty to use Encryption

The General Data Protection Regulation, abbreviated to GDPR, raised a storm when it arrived. In reality, it merely tightened up on existing good practice according to digital security specialists Gemalto. The right to withhold consent and to be forgotten has always been there, for example. However, the GDPR brings a free enforcement service for consumers, thus avoiding the need for third party, paid assistance.

The GDPR Bottom Lines for Data Security
Moreover, the GDPR has penalties it can apply, of the order that might have a judge choking on his wig. Under it, data security measures such as pseudonymisation (substitution of identifying fields) and encryption (encoding including password protection) have become mandatory. Businesses must further respect their client data by:

a) Storing it in a secure environment supported by robust services and systems

b) Having proven measures to restore availability and access after a breach

c) Being able to prove frequent effectiveness testing of these measures.

The General Data Protection Regulation places an onus on businesses to report any data breaches. This places us in a difficult situation. We must either face at least a wrist slap upon reporting failures. Alternatively, pay a fine of up to ?10 million, or 2% of total worldwide annual turnover.

The Engineered Weak Link in the System
Our greatest threat of breach is probably when the data leaves our secure environment, and travels across cyberspace to an employee, stakeholder, collaborator, or the client themselves. Since email became open to attack, businesses and individuals have turned to sharing platforms like Dropbox, Google Drive, Skydrive, and so on. While these do allow an additional layer of password protection, none of these has proved foolproof. The GDPR may still fine us heavily, whether or not we are to blame for the actual breach.

How Hacking is Approaching Being a Science
We may make a mistake we may regret, if we do not take hacking seriously. The 10 worst data hacks Identity Force lists are proof positive that spending lots of money does not guarantee security (any more than having the biggest stock of nuclear weapons). We have to be smart, and start thinking the way that hackers do.

Hacker heaven is finding an Experian or a Dun & Bradstreet that may have shielded 143 million, and 33 million consumer records respectively, behind a single, flimsy cyber-security door. Ignorance is no excuse for them. They should simply have known better. They should have rendered consumer data unreadable at individual record level. The hackers could have found this too demanding to unpick, and have looked elsewhere.

How Data Encryption Can Help Prevent Hackers Succeeding
Encrypting data is dashboard driven, and businesses need not concern themselves about it works. There are, however, a few basic decisions they must take:

a) Purge the database of all information held without explicit permission

b) Challenge the need for the remaining data and purge the nice-to-haves

c) Adopt a policy of encrypting access at business and customer interfaces

d) Register with three freemium encryption services that seem acceptable

e) After experimenting, sign up for a premium service and be prepared to pay

Factors to Consider When Reaching a Decision
Life Hacker?suggests the following criteria although the list is a one-size-fits-all

a) Is the system fast, simple, and easy to operate

b) Can you encrypt hidden volumes within volumes

c) Can you mass-encrypt a batch of files easily

d) Do all other files remain encrypted when you open one

e) Do files automatically re-encrypt when you close them

f) How confident are you with the vendor, on a scale of 1 to 10

It may be wise to encrypt all the files on your system, and not just your customer data. We are always open to a hack by the competition after our strategic planning. If we leave the decision up to IT, then IT, being human may take the easy way out, and encrypt as little as possible.

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Is Your Project Agile, a Scrum or a Kanban?

Few projects pan out the way we expect when starting out. This is normal in any creative planning phase. We half suspect the ones that follow a straight line are the exceptions to the rule. Urban legend has it; Edison made a thousand prototypes before his first bulb lit up, and then went on to comment, ?genius is 1% inspiration, 99% perspiration?. Later, he added that many of life’s failures are people who did not realise just how close they were to success when they gave up.

So be it to this day, and so be it with project planning too. There is no one size fits all approach when it comes to it. Agile, Scrum and Kanban each have their supporters and places where they do well. Project planning often works best when we use a sequential combination of them, appropriate to what is currently happening on the ground.

Of the three, Agile is by far the most comprehensive. It provides a structure that begins with project vision / conceptualisation, and goes as far as celebration when the job is over, and retrospective discussion afterwards. However, the emphasis on daily planning meetings may dent freethinking, and even smother it.

Scrum on the other hand says ?forget all that bureaucracy?. There is a job to do and today is the day we are going to do it. Although the core Agile teamwork is still there it ignores macro project planning, and could not be bothered with staying in touch with customers. If using Scrum, it is best to give those jobs to someone else.

The joker in the pack is Kanban, It believes that rules are there to substitute for thought, and that true progress only comes from responsible freedom. It belongs in mature organisations that have passed through Scrum and Agile phases and have embarked on a voyage towards perfection.

That said, there can be no substitute for human leadership, especially when defined as the social influence that binds the efforts of others towards a single task.

Field Service Organisations should use Digital Forms

For many Organisations, making use of paper based forms, is a common practice and method for collecting data and recording transactions. Whether it be for producing Quotations, Invoices or even getting sign off on completed jobs.

Paper based forms and documents have been the main stay of office communication and productivity for over 200 years. Paper-based forms are used to create anything from Invoices, Receipts, Purchase Orders, Contracts to the humble internal memo!

Paper-based forms radically improved productivity, efficiency and compliance by enabling people to create paper based instructions and enabling others to add additional information as required.

Over the past 3 decades or so, modern business environments have gradually been evolving towards the concept of the Paperless Office, resulting in the humble Paper based document migrating to a Digital Counterpart. The ease of availability of various Word Processing and Spreadsheet software products and cheap and easy data storage capacity have resulted in the Proliferation of thousands if not millions of files and documents being stored somewhere on the Company’s IT infrastructure.

People often create Digital Templates of forms that may be printed off and supplied to staff to complete using Pen and Paper or electronically. The data collation and reporting is often process

Often when conducting Operational Reviews, it is commonly found that the processing and analysing paper based forms is the least productive, efficient and profitable areas of business, although it is often vitally important.

Benefits of using digital forms for data collection

The ability to collect and analyse data effectively is increasingly important to businesses. Companies gather, examine, process and build reports on large volumes of data. Traditionally, they have deployed mail surveys, telephone interviews, door-to-door interviews as methods to collect information. With the ongoing digitisation, these procedures have become old fashioned.The digital transformation is changing many business operations at a high speed and a great deal of processes that were executed manually are now accomplished using digital methods.

Technology has had a major impact on how to approach data research and has provided researchers new tools that have transformed and improved data collection and analysis. The pace of change requires companies to be able to react quickly and adapt themselves to changing demands from customers and market conditions.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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