Big Energy Data Management

Recent times have seen the advent of cloud based services and solutions where energy data is being stored in the cloud and being accessed from anywhere, anytime through remote mobile devices. This has been made possible by web-based systems that can usually bring real-time meter-data into clear view allowing for proactive business and facility management decisions. Some web based systems may even support multi utility metering points and come in handy for businesses operating multiple sites.

Whereas all this has been made possible by increased use of smart devices/ intelligent energy devices that capture data at more regular intervals; the challenge facing businesses is how to transform the large data/big volume of data into insights and action plans that would translate into increased performance in terms of increased energy efficiency or power reliability.

A solution to this dilemma facing businesses that do not know how to process big energy data, may lie in energy management software. Energy management software?s have the capability to analyse energy consumption for, electricity, gas, water, heat, renewables and oil. They enable users to track consumption for different sources so that consumers are able to identify areas of inefficiency and where they can reduce energy consumption, Energy software also helps in analytics and reporting. The analytics and reporting features that come with energy software are usually able to:

? Generate charts and graphs ? some software?s give you an option to select from different graphs

? Do graphical comparisons e.g. generate graphs of the seasonal average for the same season and day type

? Generate reports that are highly customisable

While choosing from the wide range of software available, it is important for businesses to consider software that has the capacity to support their data volume, software that can support the frequency with which their data is captured and support the data accuracy or reliability.

Energy software alone may not make the magic happen. Businesses may need to invest in trained human resources in order to realise the best value from their big energy data. Experts in energy management would then apply human expertise to leverage the data and analyse it with proficiency to make it meaningful to one?s business.

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ESOS What is the Truth?

When the UK administration introduced its ESOS Energy Savings Opportunity Scheme reactions from business people followed a familiar theme.

Do nothing it will go away
The next Westminster will drop this
Another stealth tax. I don’t have time for this
Give the problem to admin and tell them to fix it

ecovaro decided to share three facts with you. These are

(1) ESOS is not a government money spinner

(2) all major political parties support it, and

(3) it is a cost-effective way to put money back in your pocket while feeling better about what business pumps into the environment.

Four More ESOS Facts

1. You Cannot Give the Problem to Admin ? Energy is technical. The lead belongs with your operations staff because they understand how your systems work. Some things are best outsourced though. ecovaro is here to help.

2. ESOS is Not Going to Go Away ? A company inside the regulation net must submit its first report by 6 December 2015. Non-compliance risks the following penalties:

?5,000 for not maintaining adequate records
?50,000 for not completing the assessment

?50,000 for making a false or misleading statement

3. The Employee Count is the Annual Average – The employment criteria (unlike balance sheet and turnover) is the monthly average of full and part-time employees taken across the full financial year. The fact you have <250 employees in December 2015 when the first report is due does not necessarily let you off the hook.

4. The 6 December 2014 Report is No Big Deal ? When you think about it the administration is hardly likely to spend years wading through 9,000 detailed company energy plans. It has no authority to comment in any case. All that is required is for a senior director to confirm reading the document, and a lead assessor to agree it complies with the law.

Does this mean that ESOS is a damp squib? We do not think so, although some firms may take the low road. ecovaro believes the financial benefits will carry the process forward, and that the imperative to make the world a better place will do the rest.

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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