Is Change Management a Myth or a Possibility

The theory that it is possible to manage organisational change (Change Management) in a particular direction has done the rounds for quite some time, but is it true about Change Management. Was Barrack Obama correct when he said, ?Change will not come if we wait for some other person or some other time. We are the ones we have been waiting for. We are the change that we seek.?
Or, was business coach Kelly A Morgan more on the button when she commented, ?Changes are inevitable and not always controllable. What can be controlled is how you manage, react to, and work through the change process.? Let us consult the evidence and see what statisticians say.

What the Melcrum Report Tells Us

Melcrum are ?internal communication specialists who work alongside leaders and teams around the globe to build skills and best practice in internal communication.? They published a report after researching over 1,000 companies that attempted change management and advised:

? More than 50% report improved customer satisfaction

? 33% report higher productivity

? 28% report improvements in employee advocacy

? 27% improved status as a great place to work

? 27% report increased profitability

? 25% report improved absenteeism

Sounds great until we flip the mirror around and consider what the majority apparently said:

? 50% had no improvement in customer service

? 67% did not report increased productivity

? 72% did not note improvements in employee advocacy

? 73% had no improved status among job seekers

? 73% did not report increased profitability

? 75% did not report any reduction of employee absenteeism

This shows it is still a great idea to hear what all parties have to say before reaching a conclusion. You may be interested to know the Melcrum report gave rise to the legend that 70% of organisation change initiatives fail. This finding has repeated numerous times. Let’s hear what the psychologists have to say next.

There is a certain amount of truth in the old adage that says, ?You can lead a horse to water but you cannot make him drink.? Which of us has not said, ?Another flavour of the week ? better keep heads down until it passes? during a spell in the corporate world. You cannot change an organisation, but you can change an individual.

At the height of the Nazi occupation of 1942, French philosopher-writer Antoine de Saint-Exup?ry said, ?A rock pile ceases to be a rock pile the moment a single man contemplates it, bearing within him the image of a cathedral?. Psychology Today suggests five false assumptions change management rests upon, THAT ARE SIMPLY NOT TRUE.

1. The external world is orderly, stable, predictable and can be managed

2. Change managers are objective, and do not import their personal bias

3. The world is static and orderly and can be changed in linear steps

4. There is a neutral starting point where we can gather all participants

5. Change is worthy in itself, because all change is an improvement

Leo Tolstoy wrote, ?Everyone thinks of changing the world, but no one thinks of changing himself.? A prophet can work no miracles unless the people believe. From the foregoing, it is evident that change management of an organisation is a 70% impossibility, but encouraging an individual to grow is another matter.

A McKinsey Report titled Change Leader, Change Thyself fingers unbelieving managers as the most effective stumbling stones to change management. To change as individuals ? and perhaps collectively change as organisations ? we need to ?come to our own full richness?, and as shepherds lead our flock to their ?promised land?, whatever that may be. Conversely, herding our flock with a pack of sheepdogs extinguishes that most precious thing of all, human inspiration.

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Spreadsheet Fraud

To any company executive or business owner, the mere possibility of fraud can be enough to send alarm bells ringing – for good reason. In a prolonged recession, the last thing investors would want to discover is a huge, gaping hole where supposedly a neat profit should have been. Also to find out that such loss was brought about by deliberately falsified accounting and poor spreadsheet controls only makes the situation even more regrettable.

Why?

Because these losses would not have occurred had there been a stronger risk management program in place and more stringent quality control on critical data to begin with.

But given the nature of a spreadsheet system i.e. its sheer flexibility and easy accessibility, plus the fact that they were never intended to be enterprise-level tools, there are no hard and fast rules for auditing spreadsheets. Also because of the lack of internal controls for end user computing (EUC) applications, in this case spreadsheets, you can’t expect these systems to yield consistently accurate results.

In fact, most managers assume that major spreadsheet errors should result in figures that are blatantly out of touch with how things stand in the real world, making these errors easily detectable.

Well they assumed wrong. You’ll find cases where the losses ran to millions of dollars without anyone being the wiser.

In instances of fraud, the problem becomes more complicated as these errors are deliberately hidden and cleverly disguised, perhaps one erroneous cell at a time. Even if these cover-ups started out with smaller figures that may have had negligible impact on a company?s operation, the cumulative costs of these ?insignificant? errors multiply exponentially as the spreadsheets are reused and utilised as bases for other related reports.

While there is no generally accepted definition of the term ?spreadsheet fraud?, its quite easy to identify one when a case crops up. Fraud arising from spreadsheets are typically characterised by:

Fallacious inputs – correct figures are deliberately replaced with false values.

Erroneous outputs owing to data alteration – hyperlinks are linking to the wrong spreadsheets or cells; use of macros or special lines of code which are understandable only to the person who developed the code.

Concealment of critical information – can be done with easy ?tweaks? such as hidden rows and columns, using the same colour for both the font and the background, or hard coding additional values into a cell.

There is nothing really highly-sophisticated or technical in any of these methodologies. But without internal spreadsheet controls in place, it would take a discerning eye and a thorough review to catch the inconsistencies contained in a spreadsheet fraught with errors. Also, if these errors are knowingly placed there, the chances of finding them are close to nil.

Learn more about our server application solutions and discover a better way to protect your company from spreadsheet fraud.

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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Are Master Data Management and Hadoop a Good Match?

Master Data is the critical electronic information about the company we cannot afford to lose. Accordingly, we should sanitise it, look after it, and store it safely in several separate places that are independent of each other. The advent of Big Data introduced the current era of huge repositories ?in the clouds?. They are not, of course but at least they are remote. This short article includes a discussion about Hadoop, and whether this is a good platform to back up your Master Data.

About Hadoop

Hadoop is an open-source Apache software framework built on the assumption that hardware failure is so common that backups are unavoidable. It comprises a storage area and a management part that distributes the data to smaller nodes where it processes faster and more efficiently. Prominent users include Yahoo! and Facebook. In fact more than half Fortune 50 companies were using Hadoop in 2013.

Hadoop – initially launched in December 2011 ? has survived its baptism of fire and became a respected, reliable option. But is this something the average business owner can tackle on their own? Bear in mind that open source software generally comes with little implementation support from the vendor.

The Hadoop Strong Suite

  • Free to download, use and contribute to
  • Everything you need ?in the box? to get started
  • Distributed across multiple fire-walled computers
  • Fast processing of data held in efficient cluster nodes
  • Massive scaleable storage you are unlikely to run out of

Practical Constraints

There is more to Hadoop than writing to WordPress. The most straightforward solutions are uploading using Java commands, obtaining an interface mechanism, or using third party vendor connectors such as ACCESS or SAS. The system does not replace the need for IT support, although it is cheap and exceptionally powerful.

The Not-Free Safer Option

Smaller companies without in-depth in-house support are wise to engage with a technical intermediary. There are companies providing commercial implementations followed by support. Microsoft, Amazon and Google among others all have commercial versions in their catalogues, and support teams at the end of the line.

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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