Are Target Operating Models strategic compasses?

The short answer is they usually are, because every organisation needs a road-map of where they are going. Target operating models can be complex documents with illustrative details including project management structures, special tools, implementation procedures and management metrics. They can also be simple statements, as for example Winston Churchill?s promise that ?we shall fight them on the beaches, on the landing grounds and in the fields? which gave Britain the strategic direction it needed.

Many initiatives unfortunately fail because managers are ?too busy? to bottom on what their target operating model should say, or simply don’t believe in paperwork. As a result, promising initiatives may blunder off course or die a slow death without them really noticing. We cannot manage what we cannot measure, which is where the management metrics fit in. One of my favourite quotes is ?if you don’t know where you are going any road will get you there? which is what the Cheshire Cat said to Alice in Wonderland when she got lost.

The author blundered through life without a plan because there was no one else with his particular brand of imagination. The current business climate is different because everybody is trying to ramp up, and investors want to know exactly what is going to happen to their money and by when. Hence a target operating model can be indispensable throughout a change or product cycle.

The benefits of having a measurable operations / technology plan can produce powerfully tangible results if the organisation follows through on it. Built-in metrics with milestones are powerful tool for management, and, when they map through to the company financial plan almost irreplaceable as cash-flow forecasters.

Other benefits may include:

  • Shorter times to market and greater agility when launching new ideas
  • Reduced investor risk through a predictable process that’s readily monitored
  • A stable operating environment where there is consensus on direction
  • Greater likelihood of delivering on time and leading to repeat orders
  • A more cost-effective process, with less risk of loss of quality and money

Although it dates back a few years the Wills UK and Ireland Retail model still provides an excellent benchmark of a target operating plan that worked. The strategic goals were exceptionally clear, and they brought in a proven project manager to help them drive the program forward.

We have delivered advanced business management services to many of our clients, and believe you will find our personalised approach time-efficient and effective too.

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Spreadsheet Risk Issues

It is interesting to note that the riskiness of operational spreadsheets are overlooked even by companies with high standards of risk management. Only when errors amount to actual losses do they realize that these risks have been staring them in the face all along.

Common spreadsheet risk issues

Susceptibility to trivial manual errors

Due to the fundamental structure of spreadsheets, a slight change in the formula or value in any of their inhabited cells may already affect their overall output. An

  • accidental copy-paste,
  • omission of a negative sign,
  • erroneous range selection,
  • incorrect data input or
  • unintentional deletion of a character,cell, range, column, or row

are just some of the simple errors spreadsheet users frequently encounter. Rarely are there any counter-checking controls in place in a spreadsheet-based activity and manual errors therefore easily go undetected.

Possibility of the user working on the wrong version

How do you store spreadsheet files?

Since the most common reports are usually generated on a monthly basis, users tend to store them using variations of these two configurations:

spreadsheet storage

If you notice, a user can accidentally work on the wrong version with any of these structures.

Prone to inconsistent company-wide reporting

This happens when a summary or ?final? spreadsheet is fed information by different departments coming from their own spreadsheets. Even if most of the data in their spreadsheets come from one source (the company-wide database), erroneous copy-pasting and linking, or even different interpretations of the same data can result to contradicting information in the end.

Often defenceless against unauthorised access

Some spreadsheets contain information needed by various individuals or department units in an organisation. Hence, they are often shared via email or through shared folders in a network. Now, because spreadsheets don’t normally use any access control, any user can easily open a spreadsheet file and view or modify the contents as he wishes.

Highly vulnerable to fraud

A complex spreadsheet system with zero or very minimal controls provides the perfect setting for would-be fraudsters. Hidden cells with malicious formulas and links to bogus information can go unnoticed for a long time especially if the final figures don’t deviate much from expected values.

Spreadsheet risk mitigation solutions may not suffice

Inherent complexity makes testing and logic inspection very time consuming

Deep testing can uncover possible errors hidden in spreadsheet cells and consequently mitigate risks. But spreadsheets used to support financial reporting are normally large, complex, highly-personalised and, without ample supporting documentation, understandably hard to follow.

No clear ownership of risk management responsibilities

There?s always a dilemma when an organisation starts assigning risk management responsibilities for spreadsheets. IT personnel believe users in the business side of the organisation should be responsible since they are the ones who create, edit, store, duplicate, and share the spreadsheet files. On the other hand, users believe IT should be responsible since they have always been in-charge of managing IT infrastructure, applications, and files.

To get rid of spreadsheet risks, you’ll have to get rid of spreadsheets altogether

One remedy is to have a risk management activity that involves both IT personnel and spreadsheet users. But wouldn’t you want to get rid of the complexity of having to distribute the responsibilities between the two parties instead of just one?

Learn more about Denizon’s server application solutions and how you can get rid of spreadsheet risk issues.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


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


Still looking for a Way to Consolidate Excel Spreadsheets?


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


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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4 Reasons Why You Might be Missing Out on Energy Savings…

?well your company actually, although for many small-to-medium businesses it boils down to the same thing. Governments usually lag behind in terms of innovation but are beating us hands-down when it comes to going green. I have heard that private sector energy savings average less than 1% per year and I for one would not be surprised if that were true. So what is causing this rot, when we started out so enthusiastically? Here are four possibilities for you to mull over.

  1. Your Team is Unevenly Yoked ? A pair of mismatched horses cannot pull a wagon in a straight line any more successfully than a business team can achieve its goals, if there is no agreement on priorities. While your sales team may be all for scoring green points against your competition, your accountant has a budget to balance and your operations department just wants to get on with the job.
  1. Energy?s not in Focus ? The above may in part be due to production goals you set your department heads. Energy is not nearly as greedy as raw materials and human capital. If you tell them to cut 5%, where do you think they are going to look first? You need to put energy savings up there, and agree specific targets as you do with other primary goals.
  1. Your Equipment Could be Over-Spec ? It is a very human thing to put more food on our plates and buy faster cars than we need. Only a few generations ago our ancestors lived through feast and famine, and the shadow of this still influences our thinking. Next time you buy equipment sit around the table and agree the decision criteria together. Then stick to them and repel all attempts at up-selling.
  1. You Are Delegating Too Much ? Delegation is part of company culture, or if you prefer the collective way of doing things. If you delegate something completely it is akin to saying I do not care much about this, make it happen. Energy saving is a financial and moral imperative. The fact the oil price is down does not mean there is no place for sustainability on your desk (and the price is likely to be up again soon).

Governments succeed in saving energy (whereas businesses often do not) because governments have a crowd of stakeholders beating down the door and demanding progress. As business owners we are more likely to do the same when the pressure is upon us, and that pressure surely has to come from us.

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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