User-Friendly RASCI Accountability Matrices

Right now, you’re probably thinking that’s a statement of opposites. Something dreamed up by a consultant to impress, or just to fill a blog page. But wait. What if I taught you to create order in procedural chaos in five minutes flat? ?Would you be interested then?

The first step is to create a story line ?

Let’s imagine five friends decide to row a boat across a river to an island. Mary is in charge and responsible for steering in the right direction. John on the other hand is going to do the rowing, while Sue who once watched a rowing competition will be on hand to give advice. James will sit up front so he can tell Mary when they have arrived. Finally Kevin is going to have a snooze but wants James to wake him up just before they reach the island.

That’s kind of hard to follow, isn’t it ?

Let’s see if we can make some sense of it with a basic RASCI diagram ?

Responsibility Matrix: Rowing to the Island
Activity Responsible Accountable Supportive Consulted Informed
Person John Mary Sue James Kevin
Role Oarsman Captain Consultant Navigator Sleeper

?

Now let’s add a simple timeline ?

Responsibility Matrix: Rowing to the Island
? Sue John Mary James Kevin
Gives Direction ? ? A ? ?
Rows the Boat ? R ? ? ?
Provides Advice S ? ? ? ?
Announces Arrival ? ? A C ?
Surfaces From Sleep ? ? ? C I
Ties Boat to Tree ? ? A ? ?

?

Things are more complicated in reality ?

Quite correct. Although if I had jumped in at the detail end I might have lost you. Here?s a more serious example.

rasci

?

There?s absolutely no necessity for you so examine the diagram in any detail, other to note the method is even more valuable in large, corporate environments. This one is actually a RACI diagram because there are no supportive roles (which is the way the system was originally configured).

Other varieties you may come across include PACSI (perform, accountable, control, suggest, inform), and RACI-VS that adds verifier and signatory to the original mix. There are several more you can look at Wikipedia if you like.

Check our similar posts

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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Why Spreadsheets can send the Pillars of Solvency II Crashing Down


Solvency II is now fast approaching and while it may provide added protection to policy holders, its impact on the insurance industry is not all a bed of roses. Expect insurance companies to restructure, increase manpower, and raise spending on actuarial operations and risk management initiatives. Those that cannot, will have to go. But what have spreadsheets got to do with all these?

Well, spreadsheets aren’t really the main casts in this blockbuster of a regulatory exercise but they certainly have a significant supporting role to play. Pillar I of Solvency II, which calls for improved supervision on internal control, risk management, and corporate governance, and Pillar II, which tackles supervisory reporting and public disclosure of financial and other relevant information, both affect systems that have high-reliance on spreadsheets.

A little background about spreadsheets might help.

Who needs an IT solution when you can have spreadsheets?

Everyone in any organisation just love spreadsheets; from the office clerk to the CEO. Because they’re so easy to use (not to mention they’re a staple in office computers), people employ them for processing numbers and as an all-around tool for planning, forecasting, reporting, complex modelling, market data analysis, and so on. They make such tasks faster and easier. Really?

You probably haven’t heard of spreadsheet hell

Unfortunately, spreadsheets do have certain shortcomings. Due to their inherent structure and lack of controls, it is so easy to commit simple errors like an accidental copy paste, an omission of a negative sign, an incorrect data input, or an unintentional deletion. Such shortcomings may seem harmless until your shareholders discover a multi-million discrepancy in your financial report.

And because spreadsheet errors can go undetected for a long time, they are constant targets of fraudsters. In other words, spreadsheets are high risk applications.

Solvency II Impact on Spreadsheet-based Financial and IT Systems

Regulations like Solvency II, are aimed at reducing risks to manageable levels. Basically, Solvency II is a risk-based system wherein a company?s capital requirements will depend on its measured riskiness. If companies want to avoid facing onerous capital requirements, they have to comply.

The three pillars of Solvency II have to be in place. Now, since spreadsheets (also known as User Developed Applications or UDAs) are high-risk applications with weak control features and prone to produce inaccurate reports, companies will have a lot of work to do to establish Pillars II and III.

There are at least 8 articles that impact spreadsheets in the directive. Article 82, for example, which requires firms to ensure a high level of data quality and accuracy, strikes at the very core of spreadsheets? weakness.

A whitepaper by Raymond Panko entitled ?Spreadsheets and Sarbanes-Oxley: Regulations, Risks, and Control Frameworks? mentioned that 94% of audited real world operational spreadsheets that were included in his study were found to have errors and that an average of 5.2% of all cells in the audited spreadsheets had errors.

Furthermore, many articles in the directive call for the enforcement of better documentation. This is one thing that’s very tedious and almost unrealistic to do with spreadsheets because just about anyone uses them. Besides, with different ‘versions? of the same data existing in different workstations throughout the organisation, it would be extremely difficult to keep track of them all.

Because of spreadsheets you now need an IT solution

It is clear that, with the growing number of regulations and the mounting complexity of tasks needed for compliance, spreadsheets no longer belong in this era. What you need is a server-based solution that allows for seamless collaboration, data reliability, data consistency, increased security, automatic consolidation, and all the other features that make regulation compliance more doable.

One important ingredient for achieving Solvency II compliance is sound data risk management. Sad to say, the ubiquitous spreadsheet will only expose your data to more risks.

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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Saving Energy Step 2 ? More Practical Ideas

In my previous blog, we wrote about implementing a management system. This boils down to sharing a common vision up and down and across the organisation, measuring progress, and pinning accountability on individuals. This time, we would like to talk about simple things that organisations can do to shrink their carbon footprints. But first let’s talk about the things that hold us back.

When we take on new clients we sometimes find that they are baffled by what I call energy industry-speak. We blame this partly on government. We understand they need clear definitions in their regulations. It’s just a pity they don’t use ordinary English when they put their ideas across in public forums.

Consultants sometimes seem to take advantage of these terms, when they roll words like audit, assessment, diagnostic, examination, survey and review across their pages. Dare we suggest they are trying to confuse with jargon? We created ecoVaro to demystify the energy business. Our goal is to convert data into formats business people understand. As promised, here are five easy things your staff could do without even going off on training.

  1. Right-size equipment? outsource peak production in busy periods, rather than wasting energy on a system that is running at half capacity mostly.
  2. Re-Install equipment to OEM specifications ? individual pieces of equipment need accurate interfacing with larger systems, to ensure that every ounce of energy delivers on its promise.
  3. Maintain to specification ? make sure machine tools are within limits, and that equipment is well-lubricated, optimally adjusted and running smoothly.
  4. Adjust HVAC to demand ? Engineers design heating and ventilation systems to cope with maximum requirements, and not all are set up to adapt to quieter periods. Try turning off a few units and see what happens.
  5. Recover Heat ? Heat around machines is energy wasted. Find creative ways to recycle it. If you can’t, then insulate the equipment from the rest of the work space, and spend less money cooling the place down.

Well that wasn’t rocket science, was it? There are many more things that we can do to streamline energy use, and coax our profits up. This is as true in a factory as in the office and at home. The power we use is largely non-renewable. Small savings help, and banknotes pile up quickly.

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