Month End Accounting the way it should Be Today

Month end accounting has always been a business critical exercise. Without the balance sheet, income statement, and other financial reports this exercise ultimately produces, management could not make informed decisions to keep the company in the right direction and at the ideal operational speed.

Now, in order to maintain optimal business velocity, month end activities have to be carried out as swiftly and as accurately as possible. Delays will only inhibit managers from reacting and effecting necessary adjustments in time. Inaccurate information, on the other hand, obviously lead to bad decisions.

But that’s not all. Never has the month end close been as demanding as it is today. Regulations like the Sarbanes-Oxley Act, Solvency II, Dodd-Frank Act, and others, which call for more stringent controls and more robust risk management practices, are now forcing companies to find better ways to face the end of the month.

Sticking to old month-end practices while striving to achieve regulation compliance can either cost a company more (if they add manpower) or simply bog it down (if they don’t). Among the worst of these practices is the use of spreadsheets.

These User Developed Applications (UDAs) are very susceptible to errors. (See spreadsheet risks)

What’s more, consolidating data from spreadsheets as well as carrying out reconciliations on them is very time consuming. These activities usually require data from outside sources – i.e. a workstation in a different department, building, or (in the case of really large corporations) geographical locations.

Furthermore, if one of these sources fail, the financial reports won’t be complete. This is not a far-fetched scenario, considering that spreadsheet storage and backup is typically carried out by the average end user. This leaves the spreadsheet data vulnerable to hard disk crashes, virus attacks, and unexpected disasters.

Thus, in order to produce accurate financial reports on time all the time, you need a financial/IT solution that offers optimal provisions for risk management, collaboration, backup, and business continuity. Learn about server-based solutions and discover a better way to carry out month end accounting.

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2015 ESOS Guidelines Chapter 2 – Deadlines and Status Changes

The ESOS process is deadline driven and meeting key dates is a non-negotiable. The penalties for not complying / providing false or misleading information are ?50,000 each. Simply not maintaining adequate records could cost you ?5,000. The carrot on the end of the stick is the financial benefits you stand to gain.

Qualifying for inclusion under the ESOS umbrella depends on the status of your company in terms of employee numbers, turnover and balance sheet on 31 December 2014. Regardless of whether you meet the 2014 threshold or not, you must reconsider your situation on 31 December 2018, 2022 and 2026.

Compliance Period Qualification Date Compliance Period Compliance Date
1 31 December 2014 From 17 July 2014* to 5 December 2015 5 December 2015
2 31 December 2018 From 6 December 2015 to 5 December 2019 5 December 2019
3 31 December 2022 From 6 December 2019 to 5 December 2023 5 December 2023
4 31 December 2026 From 6 December 2023 to 5 December 2027 5 December 2027

Notes:

1. The first compliance period begins on the date the regulations became effective

2. Energy audits from 6 December 2011 onward may go towards the first compliance report

Changes in Organisation Status

If your organisation status changes after a qualification date when you met compliance thresholds, you are still bound to complete your ESOS assessment for that compliance period. This is regardless of any change in size or structure. Your qualification status then remains in force until the next qualification date when you must reconsider it.

Spend more to reduce costs?

It is becoming increasingly important to not to analyse energy consumption for all utility types, be it electricity, gas, water, heat, renewables, oil etc. The bottom line is both operational efficiency and utility costs monitoring. In the long run, these are management strategies designed to drive energy costs downwards as a continuous improvement cycle and as a measure of reducing carbon emissions.

It is also getting increasingly easier for organisations reduce energy use and achieve this goal using technology without having to “remember” to do it yourself. Organisations can never go wrong by investing in energy management software. There are varied software options to choose from depending on the organisational objective.
Some of the energy management objectives that organisations may need to meet are:

? Establishing baseline energy use

? Carrying out Energy audits

? Monitoring and measuring energy performance against the energy policies of an organisation and objectives

? Achieving energy certification
Energy management software?s come in handy when an organization wishes to achieve either of the above objectives.

Use of energy management software?s also assists organisations in measurement and verification of energy consumption as well as Monitoring and Targeting. Measurement and verification is where a company quantifies energy consumption beforehand (baseline energy use) and after energy consumption measurements are implemented in order to verify and report on the level of savings actually achieved.

Organisations that wish to verify the energy savings achieved by building retrofits can use energy management software?s. This is an important objective for companies that wish to either satisfy internal financial accounting and reporting requirements, or to meet the terms of third-party contracts for project implementation and management. Monitoring and targeting is also made easier by use of software. This is critical as a management technique, regardless of whether an organisation has specific facility retrofits in order to keep operations efficient and to monitor utility costs.
Overall, an investment in energy management software, is worthwhile in the achievement of management strategies designed to drive energy costs downwards as a continuous improvement cycle.

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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