Renewable energy – Is it a common man’s cup of tea?

I came across an article on a young graduate in renewable energy engineering. The fellow was doing technical sales and marketing jobs for renewable energy products though he felt that as a graduate, he ought to be doing more than just sales. His, sentiments, I can relate with but again thinking about the field of renewable energy, how many people understand what it is, its importance/ benefits, how to acquire it, its installation, costs etc.? Renewable energy is energy generated from natural resources. The renewable energy sources include sunlight, wind, rain, tides, geothermal heat and various forms of biomass. These sources are renewable naturally and continuously replenished, therefore this energy cannot be exhausted. Renewable energy technologies range from solar power, wind power, hydroelectricity/micro hydro, biomass and bio-fuels for transportation. Back to the aspiring young professional who felt that his place in the renewable energy sector lies in doing strategies and coming up with new products-the advice fronted to him was that doing technical sales is the best job for engineers, as it helps them impact on users of their products. Sales entail interacting with customers and knowing their needs so that the product features can be enhanced to suit the customer?s needs. Now, that is brilliant and accurate advice. It is however important to take into consideration that renewable energy is not a common man?s cup of tea and right now the focus all over the world is to build green economies. To me the need for more and more people to understand the benefits, savings and cost of renewable energy cannot be overemphasised. Effort should be made to keep marketing of renewable energy products/ services simple and conversational by avoiding use of acronyms or jargon explaining about operational details. More impact can be made if a marketing rather than technical sales approach is used. Technical sales have been described as boring (can be used as a sleeping aid), tends to use extensive vocabulary, jargon and acronyms that product users cannot relate with and tends to discuss the products technical aspects as opposed to the benefits to the customer. Fun should be created out of all this by making things simple and demonstrating cost savings and benefits of renewable energy.

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What GDPR Means in Practice for Irish Business

The General Data Protection Regulation (GDPR) is a European directive aimed at ring-fencing consumer data against illegal or unnecessary access. There is nothing to discuss or debate with local politicians, or the Irish Data Protection Commissioner for that matter. As a European directive, it has over-riding power. To obtain an English version, please visit this link, and select ?EN? from the table of languages.

As you reach for your tea, coffee or Guinness after sighting it, you will be glad to know the Irish Data Protection Commissioner has the lead in turning this into business English we understand. The following diagram should assist you to obtain a quick overview of the process we all have to go through. In this article, we briefly describe what is inside Boxes 1 to 12. The regulation comes into force on 25 May 2018 so we have less than a year to get ready.

The 12 Essential Steps to Implementing the General Data Protection Act

1. Create awareness among your people of what is coming their way. The GDPR has given our regulator discretion to dish out fines up to ?20,000,000 (or 4% of total annual global turnover, whichever is greater) so there is determination to make this happen.

2. Become accountable by understanding the consumer data you hold. Why are you retaining it, how did you obtain it, and why did you originally collect it. Now you know it is there, how much longer will you still need it? How secure is it in your hands, have you ever shared it?

3. Open a communication channel with your staff, your customers, and anyone else using the data. Share how you feel about how accountable you have been with the information in the past. Explain how you plan to comply with the GDPR in future, and what needs to change.

4. Understand the personal privacy entitlement of the subjects of the information. They have rights to access it, correct mistakes, remove information, restrict its use, decline direct marketing, and copy it to their own files. What needs to change in your systems to assure these rights?

5. Issue a policy for allowing consumers access to their information you hold. You must process requests within a month, and you may not charge for the service unless your cost is excessive. You may decline unfounded or excessive demands within your policy guidelines.

6. Adapt to the requirement that you must have a legal basis for everything you do with, and to consumer data. You need to be in a position to justify your actions to the Irish Data Protection Commissioner in the event of a complaint. Having a legitimate interest is no longer sufficient.

7. Ensure that consumer consent to collect, use, and distribute their data is ?freely given, specific, informed, and unambiguous.? From 25 May 2018 onward, this consent will be your only ground to do so. You cannot force consent. Your benchmark becomes what the GDPR says.

8. Issue rules for managing data of underage subjects. This is currently under review and we are awaiting results. Put systems in place to verify age. Set triggers for where guardians must give consent. Make sure age is verifiable. Use language young people understand.

9. Introduce a culture of openness and honesty, whereby breaches of the GDPR are detected, reported, investigated, and resolved. You will have a duty to file a GDPR report with the Data Protection Commissioner within 72 hours, thus it is important to fast track the process.

10. Introduce a policy of conducting a privacy assessment before taking new initiatives. The GDPR calls for ?privacy by deign?, and we need to engineer it in. This may be the right time to appoint a data controller in your company, and start implementing the GDPR while you have time.

11. You may also need to appoint a data protection officer depending on the size of your business. Alternatively, you need to add managing data protection compliance to an employee?s duties, or appoint an external data-protection compliance consultant.

12. Finally, and you will be glad to know this is the end of the list, the GDPR has an international flavour in that multinational organisations will report into the EU Lead Supervisory Authority. This will manage the process centrally while consulting national data authorities.

The GDPR is a project we all need to complete. If we are out of line, it is in our interests to get things straightened out. Once everything is in place, the task should not be too onerous. Getting there could be the pain.

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Implementing Matrix Management

Matrix management is a culture change. More than the hierarchical structures, lines of responsibilities, modes of communication and channels of decision-making, it is a concept that needs to be planned ahead and managed appropriately over time.

Implementing matrix management to any organization can be confusing. It is essential to ensure that it fits right to your business strategies, skills and competencies. With this, realizing matrix management should not be taken lightly. Careful stages should be considered, instead.

Here are the steps to proper implementation of matrix management:

Consider Your Business Context

You need to evaluate your organisation to analyse what are your development needs with regards to skills, products, services and market environment. This will help you decide on what type of matrix structure you will apply in your organisation. Consider the following questions in building up your context:

  • What is our strategy?
  • Where are the demands in our business?
  • What are the structures that our competitors currently employ?
  • What are the talents that my people possess?
  • What are other business organizations doing?

Set Your Implementation Scope

Next, you need to define the parameter and set the scope of your implementation. What area in your business do you think matrix management will successfully work? There are several things that you need to consider in setting your scope. You have to make sure that it works well with your overall business strategies, that it can be excellently communicated and easily understood. Also, you must ensure that you acquire the necessary talents and skills in the business to deliver the new system of responsibilities.

Implement the New Structure

When you have already decided what structure type you will implement, you are ready to give it a go. You will need to establish new communication channels so you can monitor the progress and receive feedback effectively.

Here?s how to apply the matrix structure:

  • Highlight your development needs
  • Define roles based on outputs and not inputs
  • Line up procedures and systems to support the structure and the behaviour that comes with it.
  • Invest in training and development
  • Support the key people in the structure by coaching them to better adapt in changes
  • Communicate regularly
  • Monitor progress and make necessary adjustments

Review the Matrix Structure, Roles and Responsibilities

Organisations that successfully implement matrix management adapt to the changes in their environment. With this, they do regular evaluations to highlight the need for changes and revisions. The review can either focus on the structure only or to the entire process as a whole. The results can alter the structure, the roles involved and the responsibilities taken.

The process of implementing matrix management follows a step-by step method. Each stage is equally important with the rest. Hence, if you plan to exploit it in your organisation, you have to recognise the purpose of each step and follow it appropriately. Balance is the key. And when you achieve stability in matrix management, amidst the complex changes in the world of business, then your organisational success is just around the corner.

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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