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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The Connection Between Six Sigma and CRM

Six Sigma is an industrial business strategy directed at improving the quality of process outputs by eliminating errors and system variables. The end objective is to achieve a state where 99.99966% of events are likely to be defect free. This would yield a statistical rating of Sigma 6 hence the name.

The process itself is thankfully more user-friendly. It presents a model for evaluating and improving customer relationships based on data provided by an automated customer relations management (CRM) system. However in the nature of human interaction we doubt the 99.99966% is practically achievable.

Six Sigma Fundamentals

The basic tenets of the business doctrine and the features that set off are generally accepted to be the following:

  1. Continuous improvement is essential for success
  1. Business processes can be measured and improved
  1. Top down commitment is fundamental to sustained improvement
  1. Claims of progress must be quantifiable and yield financial benefits
  1. Management must lead with enthusiasm and passion
  1. Verifiable data is a non-negotiable (no guessing)

Steps Towards the Goal

The five basic steps in Six Sigma are define the system, measure key aspects, analyse the relevant data, improve the method, and control the process to sustain improvements. There are a number of variations to this DMAIC model, however it serves the purpose of this article. To create a bridge across to customer relationships management let us assume our CRM data has thrown out a report that average service times in our fast food chicken outlets are as follows.

<2 Minutes 3 to 8 Minutes 9 to 10 Minutes >10 Minutes
45% 30% 20% 5%
Table: Servicing Tickets in Chippy?s Chicken Caf?s

Using DMAIC to unravel the reasons behind this might proceed as follows

  • Define the system in order to understand the process. How are customers prioritised up front, and does the back of store follow suit?
  • Break the system up into manageable process chunks. How long should each take on average? Where are bottlenecks most likely to occur?
  • Analyse the ticket servicing data by store, by time of day, by time of week and by season. Does the type of food ordered have a bearing?
  • Examine all these variables carefully. Should there for example be separate queues for fast and slower orders, are there some recipes needing rejigging
  • Set a goal of 90% of tickets serviced within 8 minutes. Monitor progress carefully. Relate this to individual store profitability. Provide recognition.

Conclusion

A symbiotic relation between CRM and a process improvement system can provide a powerful vehicle for evidencing customer care and providing feedback through measurable results. Denizon has contributed to many strategically important systems.?

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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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Benefits of Integrating IoT and Field Service

Owing to the complexity of its definition, many people loosely use the phrase Internet of Things (IoT) without having a solid grasp of its true meaning. A majority in this category take IoT to be nothing more than the automation of home gadgets, where the internet is used to interconnect computing components embedded in everyday devices.

Granted, the whole idea of IoT got its roots from the home setting. Nevertheless, IoT has outgrown that spectrum and has since penetrated into almost every area of business and industry. By employing IoT, you can literally take full control of everything in your business using a single device. From assigning tasks to monitoring security, managing bills to tracking time, IoT has revolutionized the way business is done.

Interestingly, not so long ago, most technology experts limited their forecasts to machine-to-machine (M2M) integration and Augmented Reality (AR), which also, admittedly, hit the technology industry with an admirable suave. Back then, it could have been laughable for anyone to have suggested that IoT would be so commanding in almost every industry, including real estate, medicine, automobile, and more.

It’s not for nothing, therefore, that the field service industry has also embraced IoT, integrating it in the daily running of business activities, including tracking machine diagnostics, detecting breakdowns, and assigning field engineers to attend to customer needs.

How the Field Service Industry is Benefiting from IoT

Machine uptime has remained an ongoing concern for many customers. In the traditional approach, whenever a machine breaks down, the customer alerts the service provider and then the field service manager checks to see if there is any field engineer available for a new task. Once an engineer has been identified, he?s then dispatched to the site. This worked, but it resulted in an extended machine downtime, a terrible experience for customers.

Thanks to IoT, things are now happening differently.

IoT is now integrating machines to a central communications centre, where all alerts and status updates are sent. The notifications are instant. The field service manager, therefore, gets to learn of the status of machines at the exact time of status change. An engineer who?s not engaged would then be immediately assigned to undertake any needed servicing or repair.

By employing IoT, the service provider receives timely reports relating to diagnostics, machine uptime, part failures, and more. The field manager can, as a result, foretell and forestall any possible downtime.

How has this been helpful?

Before giving a definite answer to that question, it’s crucial to note that more than half of all field service organizations now employ IoT in their Asset Management Systems and Field Service Management. And to answer the question, all the organizations that have the two systems integrated using IoT experience twice as much efficiency as those that don’t, states an Aberdeen Group report. As you already know, improved efficiency results in a corresponding upshot in customer satisfaction.

Apps Making a Difference in IoT-Field Service

The integration of IoT into almost every aspect of business prompted the design and development of different applications to link computing devices. Since the advent of IoT, the software development for the technology has come of age. Powerful and lightweight apps that don simple yet beautiful user interfaces are now readily available at affordable price tags.

A good example of such an App is ecoVaro by Denizon.

ecoVaro not only helps businesses to monitor energy and other relevant environmental data such as Electricity, Gas, Water, Oil, Carbon, Temperature, Humidity, Solar Power, and more, but also provides analytics and comprehensive yet easy to understand reports. The data received from devices such as meters is converted into useful information that’s then presented in figures and graphs, thus allowing you to make decisions based on laid down controls.

The focus of the app is to instantly alert service engineers to go on site to fix issues.

With ecoVaro, field service engineers no longer have to return to the office to get new instructions. Also, customers don’t have to manually fire alerts to the service provider whenever something isn’t working correctly. By employing the latest in IoT, ecoVaro sends notifications to field service managers and engineers about respective customers that need support.

How ecoVaro Helps

Best-in-class companies aren’t ready to compromise on customer satisfaction. Therefore, every available avenue is used to address customer concerns with the deserved agility. By using IoT, ecoVaro makes it possible for field service providers to foresee and foreclose any possible breakdowns.

The inter-connectivity among the devices and the central communications centre results in increased revenue and improved interactivity between the system and the field engineers. This results in greater efficiency and lower downtime, which translates into improved productivity, accountability, and customer satisfaction, as well as creating a platform for a possible expansion of your customer base.

ecoVaro isn’t just about failed machines and fixes. It also provides diagnostics about connected systems and devices. With this, the diagnostics centre receives system reports in a timely manner, allowing for ease of planning and despatch of field officers where necessary.

Clearly, but using the right application, IoT can transform your business into an excellently performing field service company.

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