Business Support Information

Some Guidelines For Managers On Beating Information Overload

Posted on January 27, 2012

Where data becomes a competitive advantage the level of your marketplace info plays a central role in business success. The consequences of bad data for your company and to your individual staff is considerable. A good deal of managers (around 49% of those attending management training courses) are routinely unable to make good use of the degree of business information they receive. In addition, a good 2 thirds feel that data is employed badly in their business enterprise with effects such as inappropriate judgements, time wasting, hesitation and worry or health complaints.

One of the most significant causes for the information surplus is that it is really routinely far too thorough, too far-reaching, vague, unstructured or often very difficult to grasp. What is more, it typically needs far more time than its possible usefulness justifies.

'Disinformation' is often used in the context of data quality. Clarification of what 'disinformation ' represents and the way it happens can add to understanding quality info and its requirements.

In practice four significant sorts of business disinformation are identified:

Incorrect information knowingly handed on. Incorrect data is passed on for tactical reasons in order to hurt a recipient or to protect the sender. This type of behaviour is usually found in the areas of mobbing or in covering up mistakes. From time to time people make an effort to cover up their blunders due to the fact their manager utilizes a very aggressive style of management. Such managers would benefit from management training to help them develop a more modern day method to managing staff properly.

Data that is handed on out of ignorance, despite the fact that it really is incorrect. This sort of disinformation usually comes about due to unofficial announcements, rumours, vague announcements provided in an unclear form or whose value no one is able to work out.

Information that breeds confusion since it really is contradictory or appears to be contradictory. For example, the simultaneous announcement of record profits and redundancies, salary cuts with bonus payments.

Data that will lead to confusion due to the fact the recipient is unable to understand it adequately. For example, this may be the situation if a technical worker includes far too many facts in the write-up so that the critical meaning can no longer be deduced by a non-technical reader.

The traditional issues of comprehensibility, relevance, usefulness and so on are actually abstract and difficult to transpose into practical standards. From these limitations and considerations we are in a position to formulate 5 new quality standards.

Ergonomics: Does the report have a clearly visible construction? Can the document be skim read? Does it indicate what specifically is very important about it? Does it show which data is key and which is secondary?

Compactness: Is the document disciplined (no deviations) and does the reader know where they can get additional details?

Content in appropriate media: Would the content be much better communicated orally or in a different media?

Integration: Can the info be linked? Is it possible to link the new data with previous work and to fully grasp the context?

Action/decision orientation: Does the reader understand what they could or ought do with the info? Which questions does the report answer and for whom?

In conclusion, managers need to focus their efforts on ensuring all documentation created by their people adheres to the above quality standards. Prevention of disinformation must form a goal to which all supervisors aspire. Management training can help to embed this ethos in a management team.

How To Protect Your Business Through Scenario Planning

Posted on January 25, 2012

Years ago, small businesses would source products locally. Even though they may be able to purchase a product at a lower cost overseas, the cost of shipping and importing these products was very expensive. This meant that disruptions in getting products to market were relatively predictable. The suppliers, the sellers and buyers for the products were all local so there were subjected to the same economic and environmental conditions.

In a global economy, the cost of importing goods has decreased dramatically and businesses now source products from many parts of the world. With this freedom to source from many areas of the world comes a new set of issues to the business owner. Volatile currency exchange rates along with disruptions in the supply chain from earthquakes, fires, flooding and political instability in Asia or Europe can potentially destroy a local business overnight. Most companies do not plan for these issues until it is too late. Desperately working to find new suppliers for goods that you have already received orders for can start a negative business spiral that increases expenses, reduces margins and creates bad customer relations.

Successful companies now realize that they must reduce this risk to their business by developing contingency plans before a crisis occurs. To develop these plans they use a process called Scenario Planning. Scenario planning allows a business to investigate and create alternative plans to ensure their business is secured against disruptions from external forces outside of their control.

In this article we will review the steps to effective scenario planning.

Step 1 in scenario planning is to define the objective.

In our business example we are going to look in detail at our theoretical companies supply chain. Our business has 20% of the product line representing 80% of the bottom line profit. We find that 90% of the profitable product line comes from Asia and Europe. Typically our lead times from these suppliers are 4 weeks. We keep a small inventory for emergencies in Canada. So we have identified that we rely heavily on the supply chain to keep inventory low and to meet customer service levels.

Based on this information we decide that our objective is to review possible scenarios that adversely affect our supply chain. In each scenario we will review how the business metrics of cash flow, inventory, cost of sales and lead times are affected. We decide to select team members involved with the supply chain, including purchasing, inventory, manufacturing (if there is any component done here) and shipping.

Step 2 is to define key drivers that affect the supply chain scenarios. In this case we would look at the product suppliers and the logistic companies involved in delivering the goods to our location.

Step 3 is to collect data. We contact the suppliers and logistic companies to ask for their scenario plans. Do they rely on one plant to manufacturer the goods? How many "down days" do they have each year over the last 5 years? What if a labor strike or a natural disaster were to hit their plant, what is their plan to minimize product supply delays? What plans does the shipper have if a typhoon or a weather issue closes their main hub?

Step 4 is to create the scenarios that are based on the data collected. Is there is a time of year risk to any parts of the supply chain due to weather? What happens if political tensions or natural disasters affect the country where the main plant for the manufacturer is located? These scenarios need to be tested to see their affect on cash flow, the ability to meet orders, inventory levels as defined in step 1.

Step 5 is to present the scenarios to management and decide which ones have the greatest risk to the business. We then create strategies and contingency plans, such as increasing inventory during known times of bad weather in the region of the supplier, or investigate using other suppliers or logistics companies from different regions. Perhaps the logistic company can inventory a defined number of high moving profitable products as a contingency plan.

Finally these plans must be revisited on a regular basis to be updated based on changes with suppliers and logistic companies and company objectives.

In a world wide economy, a snow storm in Europe or a flash flood in Asia could have an adverse affect on your cash flow and business growth.

Today's fast paced, fiercely competitive business environment leaves little margin for error or indecision. A consulting CMA, such as Numbers Plus's own Mark Stebbing, brings you a seasoned professional equipped with years of specialized training and business experience. Mark is trained to provide solid strategic advice, sound business management and decisive leadership and of course sound accounting and tax advice.

The New Business Intelligence

Posted on January 25, 2012

Decision makers at all levels and in all departments are now able to access and use information enabling them to become more agile and efficient in what they do.

Traditional BI

Originally BI was used only by the IT department, with IT users creating reports and statistics in order to generate leads and solutions for other departments. Traditional BI consisted of delivering information, through semantic layers and query existing repositories, implemented from the top down. Data is often only available as isolated discrete queries, with relationships between data not being maintained. Traditional BI followed a linear predefined path causing many new insights to be hidden within the data. In order for a new question to be asked the user would need to re alter the application layer. This type of structure created many limitations with users finding the system to be time consuming and expensive to implement and run.

In today's society, technology has become a part of everyday life with business users becoming interested in having more control in the collecting and analysing of their data. Frustrated users wanted the same ease of use in the office systems that they had in their personal life, without the limitations of traditional BI. Slowly new companies offering a different version of BI surfaced. This new type of platform is called Data Discovery.

Data Discovery

Data Discovery (DD) offers a decision making platform for all users rather than traditional BI's delivery of data. Data discovery gives control back to the business user, allowing each individual the chance to explore and understand the information available to them. IT no longer needs to feed out reports, instead DD offers highly interactive and graphical user interfaces that are easy to use with real time results. Business users are able to create, modify, mash up and share their data helping them to make better informed decisions.

Data Discovery gives individuals the opportunity to ask and answer their own stream of questions and follow their own path of insight. Featuring in memory technology, associations are maintained between all data fields, using tools similar to the apps they are already familiar with. All associations are stored generically against entire data sets, ready to answer any business question as it comes up without requiring any customisation. Data from all tables is always available in context and ready to answer the next business question. It is a more 'self-service' approach to reporting and analysis, transforming everyone into a highly informed business analyst. It replaces the traditional IT role with support and enablement.

Business Discovery Platforms enable insight for everyone with zero wait analysis. Users are able to share knowledge through dashboards and collaborative apps. The app-like models enable a social experience with users being able to access apps from any device, tailored for mobile access - laptops, tablets android phones. This enables faster decision making, anywhere, anytime.

Users are therefore able to make better informed decisions, collaborating and solving business problems with the click of a button. Data Discovery virtually eliminates the problems and complexity plaguing traditional slow disk-based BI tools that deliver little more than static pre-packaged data.

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