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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What Is Technical Debt? A Complete Guide

You buy the latest iPhone on credit. Turn to fast car loan services to get yourself those wheels you’ve been eyeing for a while. Take out a mortgage to realise your dream of being a homeowner. Regardless of the motive, the common denominator is going into financial debt to achieve something today, and pay it off in future, with interest. The final cost will be higher than the loan value that you took out in the first place. However, debt is not limited to the financial world.

Technical Debt Definition

Technical debt – which is also referred to as code debt, design debt or tech debt – is the result of the development team taking shortcuts in the code to release a product today, which will need to be fixed later on. The quality of the code takes a backseat to issues like market forces, such as when there’s pressure to get a product out there to beat a deadline, front-run the competition, or even calm jittery consumers. Creating perfect code would take time, so the team opts for a compromised version, which they will come back later to resolve. It’s basically using a speedy temporary fix instead of waiting for a more comprehensive solution whose development would be slower.

How rampant is it? 25% of the development time in large software organisations is actually spent dealing with tech debt, according to a multiple case study of 15 organizations. “Large” here means organizations with over 250 employees. It is estimated that global technical debt will cost companies $4 trillion by 2024.

Is there interest on technical debt?

When you take out a mortgage or service a car loan, the longer that it takes to clear it the higher the interest will be. A similar case applies to technical debt. In the rush to release the software, it comes with problems like bugs in the code, incompatibility with some applications that would need it, absent documentation, and other issues that pop up over time. This will affect the usability of the product, slow down operations – and even grind systems to a halt, costing your business. Here’s the catch: just like the financial loan, the longer that one takes before resolving the issues with rushed software, the greater the problems will pile up, and more it will take to rectify and implement changes. This additional rework that will be required in future is the interest on the technical debt.

Reasons For Getting Into Technical Debt

In the financial world, there are good and bad reasons for getting into debt. Taking a loan to boost your business cashflow or buy that piece of land where you will build your home – these are understandable. Buying an expensive umbrella on credit because ‘it will go with your outfit‘ won’t win you an award for prudent financial management. This also applies to technical debt.

There are situations where product delivery takes precedence over having completely clean code, such as for start-ups that need their operations to keep running for the brand to remain relevant, a fintech app that consumers rely on daily, or situations where user feedback is needed for modifications to be made to the software early. On the other hand, incurring technical debt because the design team chooses to focus on other products that are more interesting, thus neglecting the software and only releasing a “just-usable” version will be a bad reason.

Some of the common reasons for technical debt include:

  • Inadequate project definition at the start – Where failing to accurately define product requirements up-front leads to software development that will need to be reworked later
  • Business pressure – Here the business is under pressure to release a product, such as an app or upgrade quickly before the required changes to the code are completed.
  • Lacking a test suite – Without the environment to exhaustively check for bugs and apply fixes before the public release of a product, more resources will be required later to resolve them as they arise.
  • Poor collaboration – From inadequate communication amongst the different product development teams and across the business hierarchy, to junior developers not being mentored properly, these will contribute to technical debt with the products that are released.
  • Lack of documentation – Have you launched code without its supporting documentation? This is a debt that will need to be fulfilled.
  • Parallel development – This is seen when working on different sections of a product in isolation which will, later on, need to be merged into a single source. The greater the extent of modification on an individual branch – especially when it affects its compatibility with the rest of the code, the higher the technical debt.
  • Skipping industrial standards – If you fail to adhere to industry-standard features and technologies when developing the product, there will be technical debt because you will eventually need to rework the product to align with them for it to continue being relevant.
  • Last-minute product changes – Incorporating changes that hadn’t been planned for just before its release will affect the future development of the product due to the checks, documentation and modifications that will be required later on

Types of Technical Debt

There are various types of technical debt, and this will largely depend on how you look at it.

  • Intentional technical debt – which is the debt that is consciously taken on as a strategy in the business operations.
  • Unintentional technical debt – where the debt is non-strategic, usually the consequences of a poor job being done.

This is further expounded in the Technical Debt Quadrant” put forth by Martin Fowler, which attempts to categorise it based on the context and intent:

Technical Debt Quadrant

Source: MartinFowler.com

Final thoughts

Technical debt is common, and not inherently bad. Just like financial debt, it will depend on the purpose that it has been taken up, and plans to clear it. Start-ups battling with pressure to launch their products and get ahead, software companies that have cut-throat competition to deliver fast – development teams usually find themselves having to take on technical debt instead of waiting to launch the products later. In fact, nearly all of the software products in use today have some sort of technical debt.

But no one likes being in debt. Actually, technical staff often find themselves clashing with business executives as they try to emphasise the implications involved when pushing for product launch before the code is completely ready. From a business perspective, it’s all about weighing the trade-offs, when factoring in aspects such as the aspects market situation, competition and consumer needs. So, is technical debt good or bad? It will depend on the context. Look at it this way: just like financial debt, it is not a problem as long as it is manageable. When you exceed your limits and allow the debt to spiral out of control, it can grind your operations to a halt, with the ripple effects cascading through your business.

 

What is Business Intelligence?

How well do you know your customers? That is, can you actually pinpoint which among them are you most profitable with and which are making you spend more? Are you content with the accuracy of your forecasts and market predictions? Do you feel you’re spending more on legal costs and regulatory compliance than you should?

Your IT department may be handling these concerns pretty well but perhaps you’d like to know how you can further improve things.

What we’ve got is an IT solution wrapped in a fancy name called ‘Business Intelligence’ or BI. If you think that’s too strong a term, we invite you to read more below, then you be the judge.

Dashboards – Determine the health of your business at a glance

Most drivers rarely make use of their car’s dashboard. After all, you can still reach your destination by just using the steering wheel, pedals, gear stick and so on. But that’s not exactly the most efficient way to drive, right?

If you want to save on fuel, you’ll want to glance on the RPM and speedometer from time to time. You might also want to utilise the trip meter to determine which route is the shortest to a given destination. Other dashboard components like the fuel gauge, tire pressure gauge, engine temperature indicator, and volt meter can likewise provide information about your car’s health.

The same concept applies to business management. If you want to run your business intelligently, you can make use of BI dashboards. These are tools in a typical business intelligence package that will allow you to determine the health of your business via a set of smartly configured gauges and other intuitive graphical representations.

So that, literally, at a mere glance, you’ll already know whether various units in your company are working efficiently. A dashboard will also give you instant feedback of the strategies you’ve recently implemented; to let you know if things are working as planned.

If you want more information than a dashboard can provide, our BI packages also include highly customised reports.

Reports that help you decide faster

Dashboards are great for getting valuable information at a glance but they won’t tell you everything. For more details, you’ll need to view highly customised reports. Our reports are tailor made for each user. We see to it that, by default, each person gets the information he needs the most.

If you belong to the sales department, you normally won’t need a presentation of the data that is appropriate for people in accounting. That way, you don’t spend time filtering. Instead, you and your people can move on to making well-informed decisions.

Our BI systems make use of your vast collection of data to provide reports that will organise your regulatory requirements and call your attention to approaching deadlines. The same system will provide the right information for your people on the field. If your team members are equipped with smart phones and Pocket PCs, they can retrieve whatever it is they need to know to close deals, make sales, and serve clients faster than the competition.

Generating logical information from disparate sources of data scattered over an enterprise-wide organisation is no easy task. But we’ll make it look simple. That’s because we’ve got the expertise to bring it all together into a robust data warehouse and to extract them in the form of reports and dashboards through OLAP.

OLAP and Data Warehousing – Powering the generation of actionable information

Want to know how to generate reports with the highest degree of accuracy and reliability? In theory, what you need is a single repository or a data warehouse. That is, order receipts, sales invoices, as well as customer & supplier data is integrated with regulatory details, personnel data, and others. These are all specially organised for future reporting and analysis.

However, data, no matter how all-embracing, is useless until it is processed into actionable information. Through OLAP or Online Analytical Processing, you can seamlessly collect all relevant data from your vast repository to answer queries like “What is our company’s profitability for the 2nd quarter in all identified key cities for our top-of-the-line products?”.

The strength of OLAP lies in its inherent ability to perform data analysis and very complex calculations, thus enabling it to return complex queries much faster than other database technologies. It is therefore suitable for very large data sources, i.e., data warehouses.

Dashboards and reports will only give your organisation the edge if the information retrieved is reliable, fast, and accurate – exactly the kind OLAP is so good at.

Mobile BI – Step back and see the big picture anytime, anywhere

Spreadsheets are great for displaying detailed information. However, in today’s highly competitive market, retrieving information that matters the most in the shortest possible time is vital in maintaining a sizeable lead over the competition. To step back and see the big picture, you’ll need insightful tools like dashboards and automatically generated reports.

Reports can be beamed to mobile devices such as smart phones and Pocket PCs. They can also be viewed on eBook readers as well. You can also do the same tasks with spreadsheets. But imagine how you’d need to scroll over a large spreadsheet on any of these mobile devices just to know which customer in your current location has performed well over the last month.

If you really want to make quick, well-informed decisions, BI dashboards for mobile devices is the way to go. You can make use of various business objects such as drill-able charts, performance metrics, and metric trend graphs to make crucial decisions even when on you’re in the field.

2015 – What’s ahead for UK Business?

According to reports just in, the global environment industry is down. Less money is available for what some CEO?s still see as grudge expenditure, and many U.S. agencies are seeking soft budget cuts. The UK is proving to be an exception following the announcement of ESOS, and EcoVaro does not expect the May elections will have much impact in this regard.

ESOS calls for mandatory energy assessments in companies above a certain size, and requires specific proposals to cut consumption. There is no indication of compulsory follow-through, although it is clear the Environment Agency hopes rising electricity prices and the prospect of monetary savings will do the trick.

It is an open question whether the Tory government would have interfered with commerce to this extent, were it not for the European directive that enforced it. The overall goal is to cut EU energy consumption across the board by 20% by 2020. Energy consultants are rubbing their hands in glee. EcoVaro?s response is to provide cloud-based software.

We will be interested to see how many UK companies make the first deadline of 5 December 2015, in the light of reports that half the 9,000 firms affected appear not to even know that ESOS exists. Some will no doubt pay last-minute lip service. Those with an eye on their own sustainability will grasp the Energy Saving Opportunity Scheme with both hands.

The initial ESOS deadline was always going to be a challenge. Some big corporates have stolen a march albeit egged on by green stakeholders. The next challenge comes in June 2015 with the implementation of the European Union?s ?Waste Catalogue? of hazardous substances, and rules for their disposal. We hope a new ISO 14001 will arrive soon and pull the loose threads together.

The introduction of carbon trading late this year brings further opportunities to increase profits through wise stewardship. Auditable metrics are essential for this.

EcoVaro can assist by processing your raw data. We provide this service on a virtual cloud. In return, you can get advice on optimising the quality of your graphs for presentations. 

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