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.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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Scrumming Down to Complete Projects

Everybody knows about rugby union scrums. For our purposes, perhaps it is best to view them as mini projects where the goal is to get the ball back to the fly-half no matter what the opposition does. Some scrums are set pieces where players follow planned manoeuvres. Loose / rolling scrums develop on the fly where the team responds as best according to the situation. If that sounds to you like software project management then read on, because there are more similarities?.

Isn’t Scrum Project Management the Same as Agile?

No it’s not, because Scrum is disinterested in customer liaison or project planning, although the team members may be happy to receive the accolades following success. In the same way that rugby players let somebody else decide the rules and arrange the fixtures, a software Scrum team just wants the action.

Scrum does however align closely ? dare I say interchangeably with Agile?s sprints. Stripping it of all the other stages frees the observer up to analyse it more closely in the context of a rough and tumble project, where every morning can begin with a backlog of revised requirements to back fit.

The 3 Main Phases of a Scrum

A Scrum is a single day in the life of a project, building onto what went before and setting the stage for what will happen the following day. The desired output is a block of component software that can be tested separately and inserted later. Scrumming is also a useful technique for managing any project that can be broken into discreet phases. The construction industry is a good example.

Phase 1 – Define the Backlog. A Scrum Team?s day begins with a 15 minute planning meeting where team members agree individual to-do lists called ?backlogs?.

Phase 2 – Sprint Towards the Goal. The team separates to allow each member to complete their individual lines of code. Little or no discussion is needed as this stage.

Phase 3 – Review Meeting. At the end of each working day, the team reconvenes to walk down what has been achieved, and check the interconnected functionality.

The 3 Main Phases of a Scrum ? Conclusions and Thoughts

Scrum is a great way to liberate a competent project team from unnecessary constraints that liberate creativity. The question you need to ask yourself as manager is, are you comfortable enough to watch proceedings from the side lines without rushing onto the field to grab the ball.

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How the Dodd-Frank Act affects Investment Banking

The regulatory reform known as the Dodd-Frank Act has been hailed as the most revolutionary, comprehensive financial policy implemented in the United States since the years of the Great Depression. Created to protect consumers and investors, the Dodd-Frank Act is made up of a set of regulations and restrictions overseen by a number of specific government departments. As a result of this continuous scrutiny, banks and financial institutions are now subject to more-stringent accountability and full-disclosure transparency in all transactions.

The Dodd-Frank Act was also created to keep checks and balances on mega-giant financial firms that were considered too big to crash or default. This was especially deemed crucial after the collapse of the powerhouse financial institution Lehman Brothers in 2008. The intended result is to bring an end to the recent rash of bailouts that have plagued the U.S. financial system.

Additionally, the Dodd-Frank Act was created to protect consumers from unethical, abusive practices in the financial services industry. In recent years, reports of many of these abuses have centered around unethical lending practices and astronomically-high interest rates from mortgage lenders and banks.

Originally created by Representative Barney Frank, Senator Chris Dodd and Senator Dick Durbin, the Dodd-Frank Wall Street Reform and Consumer Protection Act, as it is officially called, originated as a response to the problems and financial abuses that had been exposed during the nation’s economic recession, which began to worsen in 2008. The bill was signed into law and enacted by President Obama on July 21, 2010.

Although it may seem complicated, the Dodd-Frank Act can be more easily comprehended if broken down to its most essential points, especially the points that most affect investment banking. Here are some of the component acts within the Dodd-Frank Act that directly involve regulation for investment banks and lending institutions:

* Financial Stability Oversight Council (FSOC): The FSOC is a committee of nine member departments, including the Securities and Exchange Commission, the Federal Reserve and the Consumer Financial Protection Bureau. With the Treasury Secretary as chairman, the FSOC determines whether or not a bank is getting too big. If it is, the Federal Reserve can request that a bank increase its reserve requirement, which is made up of funds in reserve that aren’t being used for business or lending costs. The FSOC also has contingencies for banks in case they become insolvent in any way.

? The Volcker Rule: The Volcker Rule bans banks from investing, owning or trading any funds for their own profit. This includes sponsoring hedge funds, maintaining private equity funds, and any other sort of similar trading or investing. As an exception, banks will still be allowed to do trading under certain conditions, such as currency trading to circulate and offset their own foreign currency holdings. The primary purpose of the Volcker Rule is to prohibit banks from trading for their own financial gain, rather than trading for the benefit of their clients. The Volcker Rule also serves to prohibit banks from putting their own capital in high-risk investments, particularly since the government is guaranteeing all of their deposits. For the next two years, the government has given banks a grace period to restructure their own funding system so as to comply with this rule.

? Commodity Futures Trading Commission (CFTC): The CFTC regulates derivative trades and requires them to be made in public. Derivative trades, such as credit default swaps, are regularly transacted among financial institutions, but the new regulation insures that all such trades must now be done under full disclosure.

? Consumer Financial Protection Bureau (CFPB): The CFPB was created to protect customers and consumers from unscrupulous, unethical business practices by banks and other financial institutions. One way the CFPB works is by providing a toll-free hotline for consumers with questions about mortgage loans and other credit and lending issues. The 24- hour hotline also allows consumers to report any problems they have with specific financial services and institutions.

? Whistle-Blowing Provision: As part of its plan to eradicate corrupt insider trading practices, the Dodd-Frank Act has a proviso allowing anyone with information about these types of violations to come forward. Consumers can report these irregularities directly to the government, and may be eligible to receive a financial reward for doing so.

Critics of the Dodd-Frank Act feel that these regulations are too harsh, and speculate that the enactment of these restrictions will only serve to send more business to European investment banks. Nevertheless, there is general agreement that the Dodd-Frank Act became necessary because of the unscrupulous behaviour of the financial institutions themselves. Although these irregular and ultimately unethical practices resulted in the downfall of some institutions, others survived or were bailed out at the government’s expense.

Because of these factors, there was more than the usual bi-partisan support for the Dodd-Frank Act. As a means of checks and balances, the hope is that the new regulations will make the world of investment banking a safer place for the consumer.

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