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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Which KPI?s to Use in CRM

Customer relationship management emerged in the 1980?s in the form of database marketing. In those tranquil pre-social media days, the possibility of ?managing? clients may have been a possibility although Twitter and Facebook took care of that. Modern managers face a more dynamic environment. If you are one, then what are the trends you should be monitoring yourself (as opposed to leaving it to others).

If you want to drip feed plants, you have to keep the flow of liquid regular. The same applies to drip-feed marketing. Customers are fickle dare we say forgetful. Denizon recommends you monitor each department in terms of Relationship Freshness. When were the people on your list last contacted, and what ensued from this?

Next up comes the Quality of Engagements that follow from these efforts. How often do your leads respond at all, and how many interfaces does it take to coax them into a decision? You need to relate this to response blocks and unsubscribes. After a while you will recognise the tipping point where it is pointless to continue.

Response Times relate closely to this. If your marketing people are hot then they should get a fast response to sales calls, email shots and live chats. It is essential to get back to the lead again as soon as possible. You are not the only company your customers are speaking too. Fortune belongs to the fast and fearless.

The purpose of marketing is to achieve Conversions, not generate data for the sake of it. You are paying for these interactions and should be getting more than page views. You need to drill down by department on this one too. If one team is outperforming another consider investing in interactive training.

Finally Funnel Drop-Off Rate. Funnel analysis identifies the points at which fish fall off the hook and seeks to understand why this is happening. If people click your links, make enquiries and then drift away, you have a different set of issues as opposed to if they do not respond at all.

You should be able to pull most of this information off your CRM system if it is half-decent, although you may need to trigger a few options and re orientate reporting by your people in the field. When you have your big data lined up speak to us. We have a range of data analysts brimming over with fresh ideas.

How Alcoa Canned the Cost of Recycling

Alcoa is one of the world?s largest aluminium smelting and casting multinationals, and involves itself in everything from tin cans, to jet engines to single-forged hulls for combat vehicles. Energy costs represent 26% of the company?s total refining costs, while electricity contributes 27% of primary production outlays. Its Barberton Ohio plant shaved 30% off both energy use and energy cost, after a capital outlay of just $21 million, which for it, is a drop in the bucket.

Aluminium smelting is so expensive that some critics describe the product as ?solid electricity?. In simple terms, the method used is electrolysis whereby current passes through the raw material in order to decompose it into its component chemicals. The cryolite electrolyte heats up to 1,000 degrees C (1,832 degrees F) and converts the aluminium ions into molten metal. This sinks to the bottom of the vat and is collected through a drain. Then they cast it into crude billets plugs, which when cooled can be re-smelted and turned into useful products.

The Alcoa Barberton factory manufactures cast aluminium wheels across approximately 50,000 square feet (4,645 square meters) of plant. It had been sending its scrap to a sister company 800 miles away; who processed it into aluminium billets – before sending them back for Barberton to turn into even more wheels. By building its own recycling plant 60 miles away that was 30% more efficient, the plant halved its energy costs: 50% of this was through process engineering, while the balance came from transportation.

The transport saving followed naturally. The recycling savings came from a state-of-the-art plant that slashed energy costs and reduced greenhouse gas emissions. Interestingly enough, processing recycled aluminium uses just 5% of energy needed to process virgin bauxite ore. Finally, aluminium wheels are 45% lighter than steel, resulting in an energy saving for Alcoa Barberton?s customers too.

The changes helped raise employee awareness of the need to innovate in smaller things too, like scheduling production to increase energy efficiency and making sure to gather every ounce of scrap. The strategic change created 30 new positions and helped secure 350 existing jobs.

The direction that Barberton took in terms of scrap metal recycling was as simple as it was effective. The decision process was equally straightforward. First, measure your energy consumption at each part of the process, then define the alternatives, forecast the benefits, confirm and implement. Of course, you also need to be able to visualise what becomes possible when you break with tradition.

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How to Improve Corporate Efficiency through IT

When revenues are low, what do you do to improve your profit? Obviously, those same revenues should at least remain the same. So, the objective would be to deliver the same products and services for less cost. More for less. Such is the essence of corporate efficiency.

There are many things that can make a company inefficient. There are outdated procedures, poor coordination between departments, managers? lack of business visibility, and prolonged down times, to mention a few. As a company grows, these issues get more severe.

You can overcome all these by deploying the right IT solutions. But don’t IT solutions increase spending instead? Au contraire. The last couple of decades have seen the rise of IT solutions that help companies’realise obvious cost savings in no time.

Streamline processes and keep departments in-sync

Company inefficiencies are largely due to outdated systems and procedures. These systems and procedures were not built for the dynamic and complex business environments of today that are being shaped by increasingly onerous regulations, fierce and growing competition, significant economic upswings and downturns, new battlefronts (like the Web) and logistical strategies (like outsourcing), and IT-savvy crooks.

So when your employees force outdated systems to meet today?s business demands, they’re just not able to deliver. At least not efficiently.

Another major cause of inefficiency is the discordance among departments, business units, and even individual staff members themselves. There are those who still use highly personalised spreadsheets and other disparate applications, which make data consolidation take forever and the financial close a perennial headache.

Costly devices like mobile phones, netbooks, and tablet PCs, which are supposedly designed to provide better communication, are not fully maximised. If these are subsidised by the company, then they also contribute to company inefficiency.

One way to deal with these issues is to deploy server based solutions. By centralising your IT system, you can easily implement various improvements that can pave the way for better communication and collaboration, stronger security, faster processes and transactions, and shorter down times for troubleshooting and maintenance. All these clearly translate to cost savings.

Gain better visibility

Corporate efficiency can be improved if your decision makers can make wise and well-informed decisions, faster. But they can only do this if reports they receive from people down the line are timely, accurate, and reliable. Basically, data should be presented in a way for managers to gain quick insights from.

If your people take too much time scrutinising, interpreting, and reconciling data, you can’t hope to gain a significant competitive advantage. Equally important to managing an ongoing project is the speed at which you make a go/no go decision to start or stop a project. A wise, quick decision will help you avoid wastage.

The same holds true when making purchases and investment decisions. It’s all about quickly eliminating waste and investing only on those that will give you fast, positive returns.

Clear business visibility will allow managers to allocate resources where they are most effective, to pinpoint what products and services being offered are more profitable, and to identify which customers are giving better business from an overall perspective.

These are all possible with business intelligence. We know, we know. You’ll say BI solutions will force you to break the bank. Not anymore. At least, not all. There are already two main types of BI solutions: on-premise and SaaS. The latter will generally cost you less.

Of course, each type has its own advantages, and you’ll really have to look into the size of your organisation, the number of source systems your decision-making platform is connected to, integration requirements, budget, etc. to make sure you get the most out of your investment.

But IT solutions cost an arm and a leg

Again, not anymore. These days, you can find IT products that are faster, more functional, and more powerful than their predecessors at a fraction of the cost. When it comes to getting more affordable IT products and services, you now have many options.

For example, you can turn to open source solutions to save on license costs. These solutions are typically backed by vibrant and helpful communities where you can find an extensive source of technical support – many of which are for free. With popular open source products, you can easily tap from a large pool of developers with affordable rates any time you want to make system enhancements or customisation.

On another front, virtualization solutions allow you to save on CAPEX and OPEX by eliminating certain expenses normally used for setting up infrastructure or buying hardware and maintaining them. Server virtualisation, for instance, will allow you to consolidate servers and put them together into just one machine, while desktop virtualisation will enable you to eliminate unproductive hours associated with desktop down times by allowing you to redeploy a malfunctioning desktop very quickly.

Closely related to those are cloud-based solutions like SaaS (Software as a Service), IaaS (Infrastructure as a Service), and DCoD (Data Center on Demand). SaaS and IaaS will help you realize savings in acquisition and maintenance costs for software and hardware, while DCoD?s scalable services allow you to request for additional capacity, power and storage only as you need them, thus making you spend only according to your current infrastructure requirements.

Like we said, there are many, many options out there just waiting to be tapped.

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