Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

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How To Get Started with your IT Compliance Efforts for SOX

There’s no question about it. For many of you top executives in the corporate world, all roads leading to a brighter future have to go through SOX compliance. And because the business processes that contribute to financial reporting (the crux of the Sarbanes-Oxley Act) are now highly reliant on IT systems, it is important to focus a good part of your attention there.

It is a long and arduous path to IT compliance, so if you don’t want your company to fall by the wayside due to inefficient utilisation of resources, it is important to set out with a plan on hand. What we have here are some vital information that will guide you in putting together a sound plan for SOX compliance of your company?s IT systems.

Why focus on IT systems for SOX compliance?

We’ll get to that. But first, let’s take up the specific portions of the Sarbanes-Oxley Act that affect information technology. These portions can be found in Section 302 and Section 404 of the act.

In simplified form, Section 302 grants the SEC (Securities and Exchange Commission) authority to come up with rules requiring you, CEOs and CFOs, to certify in each annual or quarterly financial report the following:

  • that you have reviewed the report;
  • that based on your knowledge, the report does not contain anything or leave out anything that would render it misleading;
  • that based on your knowledge, all financial information in the report fairly represent the financial conditions of the company;
  • that you are responsible for establishing internal controls over financial reporting; and
  • that you have assessed the effectiveness of the internal controls.

Similarly, Section 404, stated in simplified form, allows the SEC to come up with rules requiring you, CEOs and CFOs, to add an internal control report to each annual financial report stating that you are responsible for establishing internal controls over financial reporting.

You are also required to assess the effectiveness of those controls and to have a public accounting firm to attest to your assessment based upon standards adopted by the Public Company Accounting Oversight Board (PCAOB).

While there is no mention of IT systems, IT systems now play a significant role in financial reporting. Practically all of the data you need for your financial reports are stored, retrieved and processed on IT systems, so you really have to include them in your SOX compliance initiatives and establish controls on them.

Now that that’s settled, your next question could very well be: How do you know what controls to install and whether those controls are already sufficient to achieve compliance?

Finding a suitable guide for IT compliance

The two bodies responsible for setting rules and standards dealing with SOX, SEC and PCAOB, point to a well-established control framework for guidance – COSO. This framework was drafted by the Committee of Sponsoring Organisations of the Treadway Commission (COSO) and is the most widely accepted control framework in the business world.

However, while COSO is a tested and proven framework, it is more suitable for general controls. What we recommend is a widely-used control framework that aligns well with COSO but also caters to the more technical features and issues that come with IT systems.

Taking into consideration those qualifiers, we recommend COBIT. COBIT features a well thought out collection of IT-related control objectives grouped into four domains: Plan and Organise (PO), Acquire and Implement (AI), Deliver and Support (DS), and Monitor and Evaluate (ME). The document also includes maturity models, performance goals and metrics, and activity goals.

A few examples of COBIt’s detailed control objectives are:

DS4.2 – IT Continuity Plans
DS4.9 – Offsite Backup Storage
DS5.4 – User Account Management
DS5.8 – Cryptographic Key Management
DS5.10 – Network Security
DS5.11 – Exchange of Sensitive Data

By those titles alone, you can see that the framework is specifically designed for IT. But the document is quite extensive and, chances are, you won’t need all of the items detailed there. Furthermore, don’t expect COBIT to specify a control solution controls for every control objective. For example, throughout the control objective DS4 (Ensure Continuous Service), you won’t find any mention of virtualisation, which is common in any modern business continuity solution.

Basically, COBIT will tell you what you need to attain in order to achieve effective governance, management and control, but you’ll have to pick the solution best suited to reach that level of attainment.

Articles highly relevant to the one you just read:

Month End Accounting The Way It Should Be Today
Spreadsheet Woes ? Burden in SOX Compliance and Other Regulations
Spreadsheet Woes ? Limited Features For Easy Adoption of a Control Framework
How Internal Auditors Can Win The War Against Spreadsheet Fraud

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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