The ability to make accurate and defend-able predictions will depend also on the ability to use mathematical computations methods such as data mining in order to collate relevant transactional and situational information. This is collectively known as business intelligence. Without the essential elements of information gathering, information processing and finally transferring that information to the decision makes, predictive analysis will not be effective.

There are some industries which virtually rely on predictive analysis to carry out their business. This normally occurs where risk is a fundamental aspect of the products that they sell. Examples include the insurance industry and credit facilities. In any given market segment, there will be quite a high number of potential applicants and business opportunities. Such businesses will need to make fairly accurate decisions about their potential customer if they are not to suffer significant loss.

A case in point is the application for car insurance where the insurer will use business intelligence to work out which particular customers are less likely to overburden the insurance company based on behavior patterns within their characteristic group as well as their own past conduct. If the insurance company gets it wrong, they will be exposed to high risk or even face law suits for discrimination. In this case business intelligence is being used to make day to business decisions even outside the strategic lines of management.

Generally speaking, the type of business intelligence that organization use will fall into the 3 main categories.

1. The 1st category includes the ones that predict customer behavior based on existing data about them and their peer groups.
2. The 2nd category includes the ones that describe customer behavior and preferences.
3. The 3rd category involves making a final decision about the customer based on both the predictive and descriptive elements of the model.

These classifications are just summaries of what can be an exhaustive analysis of data from a very wide spectrum of information both from within the firm and from industry resource centers. The companies that can consistently balance out these three elements will make good decisions most of the time and will consequently improve their bottom line. Once can then see that if senior executives neglect to streamline the quality of their business intelligence, they will be outperformed by more diligent competitors.

In conclusion it is evidently clear that many businesses rely on the ability to predict the behavior of both their customers and their computers. In order to make accurate predictions, they need to access accurate raw data and process it into meaningful messages for the decision makers. Market intelligence enables the organization to streamline data patterns and disseminate them in a useful format.

This is more so the case when that planning has to integrate strategic objectives with operational objectives as well as paid due attention financial frameworks. In this article the practical ramifications of business intelligence are shown to impact greatly on the final plans of an organization.

A well thought-out integrated business plan will need to account for the true impact of business decisions as well as making predictions about future outcomes based on the availability of reasonably accurate information. The idea of integration will necessary mean that the various drivers of business growth will have to be individually quantified and then joined together to form a business story which in turn becomes the business plan. Good business intelligence will make this process relatively fast, consistent and effective. Some might go further and argue that without business intelligence, business planning is virtually meaningless.

The technological advancements in business intelligence systems have enabled business planners to construct complex mathematical scenario and quantify previously unquantifiable variants. This has led to an almost symbiotic relationship whereby the development of one element ultimately leads to the re-development of another equivalent element. It therefore goes without saying that the better the business intelligence, the better the planning outcomes.

Integrated business planning also presents some further challenges for business intelligence. For example the modules will need to cater for speculative questions, simulation of probable scenarios, and the demand to bespoke ratio quotients, sensitivity capabilities, infeasibility models and the complex issues of opportunity costs. This means that the business intelligence system has to constantly evolve in reflection of the complexity of modern planning systems. In some of these areas human participation is mandatory if any meaningful results are to be achieved.

Notwithstanding these challenges, business intelligence has continued to provide a useful conduit for the ambitions of business planners throughout the business world. In particular it has been the underlying business information system in terms of providing forums of interdepartmental working, generating performance management systems, opening up relational analysis and improving the effectiveness of line managers.

Is there a tension between fast business planning and detailed business intelligence ?  There could be a tension if key planners do not understand the utmost importance of having accurate data in order to facilitate planning. In any case it can be argued that the process of multi dimensional planning requires similar, if not identical, networks of research to deliver results. Without the ability to gather information from some of the remotest sectors of the business, any planning has only superficial meaning and will not go to the root issues that are affecting the company. This is as true for the for-profit sector as it is for the non-profit organization.

The BI of a company should be sought, maintained and acquired heavily so that the company can remain aware of the challenges and changes in the market, so that it can offer satisfactory results to its customers. When it is applied within the organization, it ensures effective management and performance of the workers, and that is why, BI is said to be very crucial to a company’s advantage especially moving into digital age economic .

A spreadsheet of the revenues, expenditures and top level employees of your competitors is a very basic example of Business Intelligence. Apart from the spreadsheet, a BI can also be :-

• Software which queries and reports like a database software, an online analytical processing like that provided by Microsoft, Freereporting.com, RapidMiner, OpenI and Oracle
• Digital dashboards, a presentation that allows you to monitor several parts of a company
• Data mining which means extracting patterns from the banks of data
• Process mining which means analyzing processes as per the event logs
• Business Performance Management that helps in optimization of business performance
• LIS or Local Information Systems which help in geographic reporting

In today’s age of economic, there is huge competition in the market and you need to have full knowledge of your competitors to stay ahead of them. Business Intelligence helps a company in knowing its potential clients, clients and also competitors. This information may be used in different aspects of the business from design, conceptualization, technological improvements, manufacturing and innovation to advertising, marketing and public relations.

When you know what your competitors are planning to do next, you can take the necessary steps beforehand in order to overtake the growth of that competitor. In order to implement Business Intelligence in a company, you have to assess the needs first of all and then the financial constraints that may come in the way of acquiring such knowledge.

While implementing Business Intelligence in your company, it should be included in the growing business of present and the future but the company should become a doll at the hands of this competitive knowledge and analytic.

Implementing Business Intelligence solutions to your company is much more than implementing technologies and tools associated with solution. You will need to make sure that the system provides required results and at the same time it is able to refresh real time data marts.

You will also need to access how fast you need the real time information. For example, a bank may need responses within milliseconds while other settings may accept them in a few minutes. The time for the updating of the data needs to be analyzed and based on that, you can choose a near real time solution for your business.

All the users in your organization should be educated about the capabilities of the system. Before implementing Business Intelligence to your organization, you will need real-time integration tools that come with real time data replication engine. The cost of this system is quite higher and an alternative to it is database native replicator. Database triggers can also be used in place of real time systems. They are easy to afford and need low maintenance. The changes captured are posted into a separate area of staging from where real time integration engine is able to read it continuously.

If you are planning to implement Business Intelligence to your company, you may also like to have graphic visuals so that you can have an overall view of the desired function. Analytic dashboards have become a necessity now and they can even supplement statistical and numeric information. When you want real time information through your Business Intelligence system, you will also need to receive it at almost any place you are. There are several gadgets available in the market through which exception alerts and dashboard reports are routed directly to your web enabled devices like PDAs.

If you keep all these things in mind while implement Business Intelligence solutions to your business, then all your business needs will be met effectively. You will need to plan and design the system and entrust its application to a qualified and experienced solutions providers. In this way, you will be able to reap out the benefits directly to your business.

To achieve all this, you will need a well planned long term business growth strategy. So, have you understood the significance of long term business growth strategies?

You must understand that not a single part of a business can be ignored or overlooked. Each and every step in the growth of a business, including its sales and marketing techniques, needs serious consideration. The basis of a successful long term business growth strategy is common sense.It is good to set goals for every fiscal quarter and percentage of growth every year, but they must be reasonable enough to be achieved. It is often seen that businesses set unpractical goals which are hardly attainable. What such businesses achieve at the end of the year is disappointment and failure.

Marketing your business is not only limited to putting forth what you are offering and sitting back with a hope for increase in your sales. To be successful with your sales and marketing techniques, you should try to acquire full knowledge of your target market and your potential customers, along with their age group and regional territory.

Carry out a thorough marketing research and know what your competitors are exactly doing to promote their products or services. Try to know why they are so successful and after doing that, you can either adopt their strategy to be applied into your own business or you can decide upon doing something different and new.

But this should be done if you are too confident about what you are going to do is going to be successful for sure. You can’t take risks with your business, especially if you are a new business owner. Gaining success in business is not very hard, especially if your long term business growth strategies are stable and long lasting.

If you want to gain success in your business, then you must know the significance of business networking. This will prove to be a viable method of gaining support for growing your business and meeting your ultimate business goals.