Spreadsheet Reporting – No Room in Your Company in an Age of Business Intelligence

It doesn’t take a genius to understand why spreadsheet reporting still pervades the enterprise despite the rise of a complex but highly effective IT solution known to big shot CIOs as Business Intelligence or BI.

If you’re still in the dark as to what BI is, don’t worry because we?ll enlighten you shortly.

Business decisions from disparate data sources

In the meantime, let’s talk about how you make business decisions. If you’re a top executive, then you make decisions based largely on reports submitted to you by your managers, department heads, and so on. They in turn obtain information from different sources, like the company ERP and CRM as well as other external sources (e.g. market surveys).

Now, before their reports ever reach your desk, a lot of data is extracted, shared, filtered, analysed, consolidated, and summarised so that they become actionable information. In all these activities, one software tool gets to take part in most of the action – the spreadsheet.

The problem with spreadsheet reporting

The problem with spreadsheets is that they have very poor built-in controls. Thus, they are susceptible to human errors and are vulnerable to fraud. What’s more, collecting data and manually consolidating them into spreadsheets can be very laborious and time consuming.

If you don’t get accurate, reliable information, your judgement will be fuzzy and your business decisions compromised. In addition, if you don’t receive the information you need on time, your business will constantly be at risk of breaching critical thresholds, which may even force it to spin out of control.

Business Intelligence – actionable information on time

This is mainly the reason why large companies implement Business Intelligence systems. BI systems are equipped with built-in features like reports, dashboards, and alerts.

Reports consolidate data and present them in a consistent format composed of intuitive text, graphs, and charts. The main purpose of having a consistent format is so that you will know what kind of information to expect and how the information is arranged. That way, you don’t waste time searching or making heads or tails out of the data in front of you.

Dashboards, on the other hand, present information through visual representations composed of graphs and gauges that are aimed at tracking your business metrics and goals. The main function of dashboards is to feed you with actionable information at a glance.

Finally, alerts keep you informed when certain conditions are met or critical thresholds are breached. Because their main purpose is to prompt you at the soonest possible time wherever you are, a typical alert can come in the form of an SMS message or an email.

As you can see, all three features are designed to get you making well-informed decisions as quickly as possible.

The problem with Business Intelligence and the alternative solution

The usual problem with full BI systems is that they can be very costly. Hence, if your organisation does end up implementing one, chances are, not everyone under you will be able to access it. As a result, some departments will be forced to go back to using spreadsheets.

If your company cannot afford a full BI system, then that probably means you don’t need one. What you need is a more affordable alternative. There are actually Software as a Service (SaaS) Business Intelligence solutions that may not be as comprehensive as a full BI system, but which may suffice for small and mid-sized businesses.

The disadvantages of spreadsheets are more damaging than you could have ever expected. Be free of it now.

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How Internal Auditors can win the War against Spreadsheet Fraud

Spreadsheet Reporting – No Room in your company in an age of Business Intelligence

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Disadvantages of Spreadsheets

Spreadsheet woes – ill equipped for an Agile Business Environment

Spreadsheet Fraud

Spreadsheet Woes – Limited features for easy adoption of a control framework

Spreadsheet woes – Burden in SOX Compliance and other Regulations

Spreadsheet Risk Issues

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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.

What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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Measure it to manage it with smart meters

Measure it to manage it. This saying applies perfectly to energy management. Effectively managing energy use is virtually impossible with unreliable measurement devices in place or worse still, no measurements at all. Smart meters are a smart way to measure energy and water usage giving you more control over the amount of energy or water usage.

Smart energy meters:
Smart meters are indeed a smart way to get insight into your energy use which brings more security and a better environment. They can also enable you to get Smart Energy Reports that are a personalised guide to energy efficiency.

Other benefits of smart meters:

? You are able to generate simple graphs and charts showing you where you use your energy and money

? Consumption of gas and electricity is broken down. This implies that one can be able to view their spending at a glance

? Smart meters track consumption on a monthly basis enabling you to compare your own consumption against other similar households

? By tracking energy consumption and spending over time, one can be able to view the history and assess the impact of their energy efficiency measures over a particular period

Smart water meters:
Smart meters are not only used for measuring energy use, they are also used to measure water usage efficiency. Water efficiency is essential for management of sustainable water resources.

Water resources have been diminishing over time posing a challenge for water users and water suppliers to seriously look for ways to manage water efficiency. The need for accurate, adequate and reliable measurement and monitoring practices of water consumption in organisations can therefore not be overlooked.

Timely collection and analysis of water use data, and relaying this data in a timely manner to the water user, can result in significant changes in water use behaviour. Other benefits include instant detection of areas where water wastage is occurring e.g. leakages hence action is taken to save water. Similar to energy data, water data collected by smart metering systems is also vital in designing water efficiency and recycling systems as well as the improvement of demand management policies and programs.

The use of smart meters to monitor water consumption enables users to analyse, and interpret the data collected. This feedback enables users to change their behaviours.