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Wednesday, June 30, 2010

financial analysis

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financial analysis
The financial analysis is a new analysis of the financial model to encourage them in their financial institutions. This new age mantra has been set in the midst of the current technological leg intelligent financial experts. Financial analysis of objectivity flows provide the company's financial information and projections, while maintaining the accuracy and timeliness. They also work to reduce the monthly financial closing cycle company and leading companies to achieve growth and profitability.

Analytics Key Financial Package:

Planning and Budgeting, Funds Transfer Pricing, Project Portfolio Management, Activity-Based Management, Global Consolidation, Financials Warehouse and Mart, Risk-Weighted Capital and scorecards are some key financial analysis applications that can improve the financial efficiency within an organization.

Financial need will be assisted by the role of financial analysis:

It is important for companies to analyze whether the financial information and data flows with application of financial analysis will help managers to achieve key financial companies following:

Strategic-financial decision making by obtaining relevant data and information in times of need.

-Financial strength, weaknesses, opportunities and threats (SWOT) analysis.

Finance-specific recommendations based on business trends and the influence of their advice.

-Identifying the role of each employee in the organization and the risk return ratio for every one of them, in order to achieve profitability.

Indicators of adoption of financial analysis:

One or more of the following factors determine the adoption of a technology company financial analysis:

-Possible inaccuracies in financial data at all levels within the company in this system.

-Manual preparation of financial statements of the standards that reduce the time taken and financial efficiency.

-Dependence on information technology department of the company to create new financial statements or edit existing ones.

Data-integration from various sources that lead to possible inaccuracies in the data eventually.

Not-financial data and information all the time.

Long-cycle of the monthly financial close since the financial reporting system manual.

consume much of the financial process-independent while collecting data.

That's quite a time-consumption when preparing the financial statements leading to hasty decisions fairly risky proposition.

Applying the analysis of financial applications: the organization needs to look into the following areas to implement the model of financial analysis:

Functions and technical requirements to automate financial and operational reporting systems.

-Identify the most relevant and efficient financial analysis model for your organization.

Identify areas where the financial analysis applications can improve efficiency.

-Implement financial analysis models.

-Train employees to achieve the desired output of the financial installed analytics technology.

Financial analysis automation application great gift to the world of finance and to the whole world because it affects the financial performance of everyone associated with it, regardless of their level. All that is needed is a cost-benefit analysis is correct vis-à-vis the implementation of financial analysis.

Source:
http://EzineArticles.com/?expert=Alexander_Gordon

Monday, June 28, 2010

marketing analytics

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marketing analytics


First, let us discuss the marketing term, and begin by defining what it is not (or at least, what is not supposed to). Real marketing is not manipulative. Real marketing is not slick car salesman trying to rip you off. Real marketing nottrying to make the product look better than the junk real. Real isnot marketing lie.

Real marketing means to bring products and services that are valuable to people who need, want, and can afford it. Assuming you have a product or service that would benefit others, you already have a market. Tricks for you now is to find the market, educate about your products or services, and build trust so that the market will buy. When this happens, both sides win - you're making sales, market and you get your product or service is valuable.

Sounds like a simple idea, and in theory it. It's when we need to apply this theory to real world situations and makes the job of marketing problems that occurred. There are many questions to be answered, like: Who is my market (which needs the product or service)? What will resonate with them? How best to educate them about the product or service? What is the best channel to reach them? How do I communicate with them in a way that they will understand? What do I build trust with them?

Analytics

Because there are so many variables involved in marketing, it is impossible to have a precise answer to this question. Furthermore, the variables always appear to be in the flux and we never had full control over them, making it difficult to find concrete answers to be sure. Despite these difficulties, but it still remains that we need to work marketing.

This is where the analysis enter the picture. Analytics, in practical terms, can be defined as an investigation of available data and facts (either in qualitative or quantitative) to arrive at an optimal decision. The analyst seeks to discover the true, a valuable understanding of data and state investigations.

Marketing Analytics

Combine two terms, we arrive at marketing analysis, or investigating the practices of data and fact to create an optimal marketing decisions and functional. Analysis of marketing practitioners, then, should not only be able to do this type of analysis and view data to gain insight in the context of real, but it also must be able to translate this understanding into action.

To become successful at marketing analysis, we must draw from a large base of knowledge and skills. An understanding of sociology, human relations, psychology, communications, and statistics is required. Capable of writing, educating, creating sticky ideas, manipulate data, view data in context, and break down the complexity in simplicity is important. Marketing analysis can span a web analysis, search engine optimization, web site design is good or advertising, social media, traditional PR channels, content creation, television and radio campaign, with a myriad of other activities.

In short, it's not something you master in one day. This is a multi-faceted discipline that requires study, practice, and dedication.

The purpose of this blog is to help you understand and effectively use marketing analysis. We hope that by covering various aspects of marketing analysis every day, we all can come to a greater understanding and gain the ability to have success in the discipline.

Source:
http://EzineArticles.com/?expert=Curtis_Seare

Thursday, June 24, 2010

About

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It is all about business Intelligence Solution for your business competitive advantages.

business intelligence analytics

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business intelligence analytics
Business intelligence analytics combines two main concepts in information technology be a powerful tool for businesses and organizations. To utilize these concepts in a way that productive, organizations require skilled, dedicated business analysts, business intelligence software, and powerful analysis tools.

The main objective of the business system of intelligence analysis is to identify trends and patterns of consumer behavior. This information is used to improve profitability, the company will focus on client needs, and provide an enhanced level of accuracy in a cost-benefit analysis.

Further Reading:
http://www.wisegeek.com/what-is-business-intelligence-analytics.htm

Thursday, June 17, 2010

Predictive Analytics

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Predictive Analytics
What is Predictive Analytics and Why Are We So Afraid of It?

One day I got into a discussion with a panel of executives and predictive analysis of the topic into the main area of discussion. Most of the executives realize predictive analysis, and many of them have been carrying out predictive analysis in some form or another, whether it be through of CRM, decision support systems, marketing, etc. One thing they all have in common is that they all are interested in improving the investment value of data them. However, a pervasive feeling of the group most is intimidation.

Most executives, while very interested to apply predictive analysis techniques and strategies, to feel overwhelmed about the perceived technical nuances that accompany them. So why are we so afraid to enter the world of predictive analytics informative? Actually, predictive analysis can be very complex, combining data mining and developed data warehouse solutions to transform large volumes of data into meaningful decision-making information. This article will discuss some predictive analysis of fear in facing executives today, and hopefully will reduce the fear some people may have about implementing predictive analytics solutions.

The main reason most feared executives predictive analysis is motivated by statistical analysis. statistically valid predictive analysis, advanced mathematics, artificial intelligence and data management of many business and IT professionals view as very complex. What they may not realize that there are some tools that are out today that are dedicated to taking the complexity that people drive from the analytical prediction. First, you must hold a PhD in statistics to make and carry out analytical calculations, which are very expensive to maintain. When combined with analysis of the cost of special programs and hardware, is very difficult to justify the cost. But now, with a strong understanding of business processes and business data you produce, combined with some SQL skills, anyone can perform sophisticated analysis.

Other businesses have fear when it comes to implementing predictive analytics solutions is the high cost associated with it. They were skeptical about various case studies and success stories in which the predictive analysis generated a substantial return on investment, helping companies optimize existing processes, providing a better understanding of customer behavior, identify unexpected opportunities, and anticipate issues before they occur.

Some executives have a fear when it comes to implementing predictive analytics solutions can only come from the fact that most have only a vague concept of the many areas of the prediction can be applied to provide added value throughout the organization.

Finally, most people are afraid to enter the world of predictive analytics because it requires a lot of skill and creativity. When using a platform that can manipulate such a large amount of data, the sky is the limit for what kind of insight into your company can get, when combined with creative professionals who truly understand the data, business and organizational goals. But until the framework was made that the business is run through the stages of planning, manipulate and evaluate data in order to make predictions and drive decision making, there will be a large number of executives who remain reluctant to enter the prediction analysis.

Source:
http://EzineArticles.com/?expert=Victor_Holman

Sunday, June 13, 2010

Business Analytics Software

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Business Analytics Software
Humanity's true advantage over other species is our ability to build information on the past. We have a curious observation to determine how the world around us works, and we have language to record and submit their observations. Thousands of years of information compiled in math, science, architecture and engineering has continued to advance the culture around the world.

When simplified, many observations, trial-and-error and boil progress to one word - Analytics. Our ability to analyze records of the past and take advantage of statics has generated important for the advancement of our species'. In a sense, the analysis has been around since the beginning of our simple, sitting around the fire cave: "Note to self. Eating spoiled meat is not good for my digestion will be. Notifies Grok my findings. Next time, we will not eat rotten meat."

Currently, the analysis has evolved into an art form built on decades of information technology, compiled into a computer database network. computer software Cutting-edge allows a large amount of information that will be analyzed, compared and directed to execute the 'strategic next step' in a split second. Government, economic and swaying to the beat of the industry analysis to determine their logical next step.

There is some analysis of current software solutions that specialize in various industries. I want to highlight five major solutions below, each associated with different industries. Feel free to add to the list with a top-notch analysis software else you know.

Google Analytics: Google is king of the analysis with an easy-install, deeply and widely used software packages online. Google Analytics enables website creators to easily track their site stats: from basic such as visitors and average time on site for more specific statistics such as browser type and geographical break. Every webmaster who does not have Google Analytics installed just the same as sitting by the fire eating rotten meat.

Mint.com: Mint is a user friendly personal finance application that lets you download, categorize, and graph all your finances in a day by day. This site offers a seamless analysis: from the graph that projects what your savings will be in six months with a comparison chart that determines whether you spend more than the average person in the coffee. Must have for anyone who needs help during the economic slump to track down and stop their spending habits.

Newton Software: Newton is intuitive online recruiting software solution that enables companies to manage and track hire, announce job openings and review resumes. One if the best feature is the cutting-edge analysis modules that enable businesses to easily evaluate the recruiting program: from pinpoint barriers to determine the average speed of hiring. This allows companies to view their hiring and applicant management both from a bird's eye or the lens of a microscope. Newton is important for any business that wants to improve their recruitment process.

TubeMogul.com: TubeMogul is a good web 2.0 site that allows you to upload user-generated video content you into multiple sites in one blow (YouTube, DailyMotion, Vimeo, Revver, Brightcove, and many more). The most impressive characteristic is an extensive suite of analysis that allows you to track various statistics at several sites, including minutes of view, the attention of viewers, the quality of per-stream tracking and syndication. viewers in-depth statistics is a very valuable feature for companies that attempt to virally spread the message of their brand.

Power E-Trade Pro: E-Power Pro Stock Trading Online Trading software allows even the most intelligent investors to improve their performance by using analysis of well-crafted suites. The analysis covers the advanced features of records, unlimited customization, and various technical studies to help take advantage of any potential market opportunities.

Source:
http://EzineArticles.com/?expert=Darwin_Redshield

Saturday, June 12, 2010

Business Analytics

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Business Analytics
Software

Current business software combines analytical tools and applications for tracking, model, analyze and provide data to support decision-making process. Simplify storage management software Business Analytics enables you to find out where all your storage assets, how they perform and their utilization. Introducing the Analytics business software, you can view the entire storage infrastructure through a single integrated tool. Lower storage costs Analytics software to help businesses reduce capital and operational expenditures by improving storage utilization and identifying misallocated or underutilized storage capacity. In 2005, more and more companies are requiring their executives to make decisions based on the savvy use of business analytics software. old business analysis company collects data now available through the company's database software, presentation to the executive to develop business strategies. Many systems accounting software vendors have either built or added on the business analysis capabilities. That makes sense because this software is intended for line-manager-Business or executives who want a quick-view of the business analysis.

Data

Data warehouse and business analysis / intelligence initiatives for sales and operations management can provide monitoring and performance metrics via the web and ad-hoc reports. To meet this challenge, they are deploying business analysis applications, particularly those capable of doing high-level data analysis. To meet this challenge, they take advantage of business analysis applications, particularly those who are able to perform high level data analysis. The nature of the overall information lifecycle business demands that companies understand the linkages between data, data quality, data management, and business analysis. Internally, the Business Analytics provides dashboards for process owners with real-time data on SLA reporting, schedule monitoring, and employee performance evaluation process.

Market

A lot of work to be done by corporate IT departments, system integrators and IT vendors in the business analysis market moving forward. There are hundreds of business analytics solutions on the market today. A lot of work to be done by corporate IT departments, systems integrators and IT vendors in promoting the business market analysis .... Results from the study of market size, best practices, benefits, challenges, and lack of dissemination of business analysis is presented as supporting evidence.

Intelligence

General failure in the Business Analytics (or business intelligence) projects. Although the analysis will remain a niche business within the business intelligence officials, many institutions find it to be important. Recently, this program has taken advantage of the less widely used, more sophisticated business analysis tools that can extend the boundaries of business intelligence.

Source:
http://EzineArticles.com/?expert=Nigel_Penhearow

Friday, June 11, 2010

Business Intelligence Tools Mix

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Business intelligence is a relatively new field in the business world. However, this does not mean that it should be there early for that kind of business that gives due attention to this aspect. Business intelligence is something that can really create a healthy working environment for all kinds of industries. After all, the only constant thing in this world is changing, and this applies in the business world as well. Thus, it helps to put business intelligence in corporate settings, and also have business intelligence tools that fit in your side of the fence.

In short, businesses actually use the intelligence business to get much-needed advantage over their competitors. Thus, there is no business without any significant competition that actually pay for extra work. What is not business intelligence is that it provides the perfect way to understand the business needs of their customers, how customers make decisions about purchasing their products and services, how consumers view the products and services in the marketplace, and the usual technology, cultural, and economic trends in the market. More than that, business intelligence does not focus only on customers only. In contrast, focuses on all aspects surrounding the markets, to gain a complete picture of the overall industry.

Seeing how the balanced scorecard and key performance indicators or KPI has become a major managerial tool in today's business environment, not really surprising to find this in conjunction with business intelligence tools as well. With the help of KPIs and balanced scorecard, the data actually becomes more and more accessible and also processed faster and faster, this is connected with how the company has implemented a KPI today. Believe it or not, in the past, it will take weeks, even months, for companies to have access to current data that businesses can access in a single day. This is an efficient way the business world has become with the help of these tools.

Business intelligence clearly requires collection of all kinds of information and then analyze this information to provide relevant data to people in an organization, most of the time, this will become members of upper management. This effort requires the use of tools and some of these tools data will include data warehouse, data mining, and modeling data. These tools of data which makes it easier for companies to collect the required data and then analyze and interpret it correctly. This tool will be used for organizational purposes and will also be used in conjunction with OLAP or Online Analytical Process. Another term for Analytics and OLAP is the basis for this procedure actually Dimensional Analysis Cube.

With all the discussion, clearly requires the right mix of business intelligence tools to improve their business better on the market and increase their reach to customers what they want on their side of the fence. With the right tools to help companies gather data they need, every business must be able to get any significant advantage over competitors.

Thursday, June 10, 2010

Opensource Business Intelligence Tools

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Opensource Business Intelligence Tools
By Jesus Torres

Currently, many executors Business Intelligence and analysts try to choose the right tool for the implementation of BI. And most of the professionals who try to find out how open source BI tools will take the business scene and how will their performance.

First, the Open Source Business Intelligence Applications, from the point of view, the tool is able to develop and demonstrate proof of concept, a key starting point for BI efforts. In addition, most Open Source BI Applications (Apps OSBI) can be used directly by developers without licensing fees.

Second, the OSBI Apps Are achieve acceptable level of maturity and user friendly graphical interface for developers, intended by the OS Integrated Development Environments like Eclipse business, the standardization and make developers jobs a little easier '. Then, the developer familiarized with Eclipse, can easily develop various applications with the same IDE, including BI Apps. Thank you for JDBC connectivity, ETL programming can access almost all databases and data repositories, which enables easy data integration development process.

Third, the OSBI Apps requires fewer hardware and software resources of commercial partners, or development of affordable laboratory allows the server farms and cheap storage, even the OS such as Linux.

Finally, the application OSBI commercial support can be obtained from the OSBI big players: Pentaho, Jaspersoft, SpagoBI and encouraged to offer such support services and many consultant companies and developers to offer outsourcing services based on these tools.

Depending on the demand for Business Intelligence services' in any organization, the IT unit can:

  • Show project 'Proof of Concept to obtain consent from users and stakeholders.
  • Start offers Business Intelligence Applications and Services to each organizational unit or compan to use all these tools.
  • Upgrade and grow with Open Source tools or migrate with minimal effort for the commercial tool.
  • Mixing Equipment Source
  • Open in commercial and passed (some units with a few tools, other units serviced by other means) or in layers (multiple layers of commercial, some Open Source tools) way.

Jesus Torres is a software specialist, consultant and systems integrator of information systems with more than 15 years of experience.

Source:
http://EzineArticles.com/?expert=Jesus_Torres

Wednesday, June 9, 2010

Collective Intelligence

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How to Use Collective Intelligence in Network Marketing

Have you ever heard of collective intelligence? Only by putting two words together, I'm sure you can figure it out. But I first wanted to go a little deeper and then I want to talk about how to use it. Collective intelligence is the intelligence or with a group that emerged from the cooperation and competition of many individuals. That sounds a little luxury. Basically, when a group of people gathered to learn from one another. Why is this so important in your business? Well, think about this for a second: There are more millionaires made in real estate and network marketing than in any other business in the world. Why is that? This is because the collective intellect and great leverage.

In short order, we will not discuss real estate in this article.

I'm sure you've heard many claim the income from a top network marketer. Some of them use offline marketing strategies or non-internet. Some of them only use internet marketing strategies. But, the most successful use BOTH. And if you think that the claims were false, I'm here to tell you directly that they are NOT.

This top marketers have a mindset that allows them to do things that others just will not do. Every single one of them is either self-improvement junkie at one point in their lives. And when you read that a lot and hanging out with people who read a lot, eventually that rubs off on your knowledge. We've all heard the phrase, "Two heads are better than one." Nowhere this is more true than in network marketing. You really can not learn this business and succeed without assistance from another human. Whether it digitally via video, text on your screen, or real contact you MUST have someone help you.

How you do that is by listening. Yes, art is lost in all the noise of the world today. Listening is what and how the collective intelligence. When you listen to people even further in the process and apply the advice and knowledge given by you automatically shorten your learning and growth curve. Instead the graph looks like a bumpy hill, he will begin to look like a very jagged mountains. And when you get there, you show how others do the same thing you do.

And as a bonus, this great formula for success:

1. Learn this
2. DO It
3. Share it


Source:
http://EzineArticles.com/?expert=Allen_T_Gregory

Tuesday, June 8, 2010

Key Performance Indicators

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Key Performance Indicators
Identifying and Analyzing Key Performance Indicators
By Josef Frederiksten

Over the years the business has developed and implemented many approaches to collecting and analyzing key performance indicators. Clearly, the most basic will net sales and net income but problems with two key performance indicators is that they are at the end of the process.

The sooner the better

Of course, they are very helpful to an extent, but ideally want a business can acquire and use key performance indicators are much closer in the future, so to speak. Searching this data has a busy managers keep trying to understand the relevant data they have gathered in the hope that comes with key performance indicators that will enable them before new insights into business operations.

New Solutions for Old Problems

Endless search for more subtle and previously available key performance indicators has in turn led to the development of new performance and recording software. Other branches of the growing need for this kind of business intelligence software is the report online, which in turn has grown even more with software real-time online reporting.

Hidden smooth Key Performance Indicator

What do these on-line service is to take complex data that a business producing and collecting on the day to day, process and refine it and then return to its source which is required in a format that is much more understandable. The result is that key performance indicators that the new fine would otherwise disappear without being noticed can be available for use as needed.

Time Key Performance Indicator Real Analysis

Managers used must collect and file information for days and even weeks in the hope of getting early look at key performance indicators can now have it sent to them every day in a simplified format such as graphs and charts for basic KPI analysis.

Written by Josef Frederiksten. Now you can find everything you want to know about Java reporting tools and key performance indicators

Source:

http://EzineArticles.com/?expert=Josef_Frederiksten

Monday, June 7, 2010

What is Intelligence?

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Intelligence Demystified - The Difference Between Innate And Artificial Intelligent Systems
By Henry M. Piironen Platinum Quality Author

In most simplistic of terms, intelligence is the ability to make logical connections between representations. A classic intelligence test, such as Cattell, which doesn't measure the memory systems, i.e. how precise the re-constructed memories are, measures just how well the person who takes the tests is able to make logical connections between images, what logic is behind the mysteriously exceeding numbers or alphabets, and if the person is able to find the correct logical connections in relations with the different given 33 representations, he/she will find himself as having an intelligence of 174. Thus, if you can find the logical connector between the given representations in Cattell's test, you are a genius. The Cattell also promises that the logical performances of the innate neurological systems are what are to be measured, and that the intelligence test does not require pre-knowledge of any artificial human made logic, such as trigonometry, or calculus, although containing numbers and alphabets.

The artificial logic of simple mathematics as for example calculating 2+2=4 is what the Finnish education system truly taught me when I was in my first grade, instead of only making me memorize numbers, and symbols. After learning to use the artificial logic to connect representations in this manner, I had been passed an artificial logical system to make mathematical logical connections between representations and when I now perceive a + symbol between numbers, in case of as easy equations as 2+2, my sub-conscious brain functions automatically equate them to my consciousness in their complete logical result, 4, thus manifesting intelligence.

Because sub-conscious brain functions, micro-level neurocomputation, dynamics of the sub-consciousness, or sub-consciousness, make your favorite pick, deals with information in the level of units, that are divided into information spatial hierarchy of micro-level entities producing the macro-level entity, and these combined macro-level entities to produce even higher macro-level entities, such as is for example the case in the visual system when environmental data goes through its content generative cycle from V1 (neurons that receive retinal information, mapping the environment) to V5 (visual motion); the macro-level entities we perceive as our environment are produced through the logical connections made by the sub-consciousness. But when one closely examines what the consciousness contains, he/she will find that the macro-level entities come from different neurological cognitive logical systems in parallel to our conscious mind. The sounds have been translated from the environment for example to meaningful sentences, producing thereafter representations that are in parallel with the sounds. At the same time, one perceives the environment as a virtual replication, containing already recognized shapes and objects, colors, their different spatial co-ordinates in relativity with each other, etc. The same parallel information contains also the body orientation, smells, tastes, emotions, and so on, that are all a part of the same macro-level representation we experience as the contents of our consciousness as the self-awareness receiving these parallel descriptive levels of the environment. And as each of the phenomena in the environment that has been translated into a virtual form need micro-level units of information to receive their recognizable form, they must already exist in the brains as neurons. And this now brings the difference between the innate information and innate information systems, and the learned semantic content of it. The human genome is the basis for the formation of the innate information, and the innate information systems, that as natural connectors create the logical connections between representations whether this concerns micro-level units or the macro-level representation produced of them in relativity with the innate logic. And it is self-evident that the from the in relativity with genome constructed brains are designed to cope with the environmental conditions on Earth, when we for example examine the retina, snake detection (Tooby, et. al. 2005), coalition detection (Kurzban, 2001), autonomic nervous system, ect.

We are taught the logic connecting representations with the language, and the language can be considered as a meme. That is, language is a logic, and the laws of the semantics define what are logical connections between representations and what are not. We also use the logic of the learned language to the reconstruction of the representations from the consciousness of another agent in the environment, and the other way around. The other memes involving language are words, but although they might seem objective in their definitive levels, they are not. Every definition given to a word is what the individuals own sub-conscious brain functions have constructed to them, although the originating source is an agent in the environment. The brains are constructive, and memories are re-constructions of the past.

Source:
http://EzineArticles.com/?expert=Henry_M._Piironen

Sunday, June 6, 2010

Corporate Performance Management

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Corporate Performance Management
It is impossible for companies to properly collect and analyze data before the 20th century. In 1970, a decision support system was introduced in the business. decision support systems can analyze a single department at a time. In 1980, the executive information system was introduced. Executive information systems can effectively summarizes ongoing transactions within an organization. In 1990, business intelligence improved with the introduction of computer technology. Customer relationship management also increased. Advanced management techniques combined with new technology to improve planning, reporting and analysis in business. This new development led to an integrated methodology known as corporate performance management. Company business management in a holistic approach to strategic planning.

Corporate Performance Management

The concept of corporate performance management was introduced in 2001 by Gartner research. performance management (CPM), also known as business performance management. This explains the processes, methodologies, metrics and systems needed to manage organizational performance. The main characteristics of corporate performance management, including full integration, automate data processing, supports collaboration, analytical insight and focus on exceptions.

Three levels of corporate performance management is a client, application and data levels. Important steps in corporate performance management is strategic planning, scorecarding, budgeting, forecasting, consolidation and business intelligence.

While strategic planning is a basic requirement of any business, the goal is to assess the performance scorecarding associated with strategic planning. Corporate performance management using metrics to assess the current state of business. Metric related data consistently and correctly. Corporate performance management to accelerate the process of budgeting and forecasting, improve accuracy and provide auditable budget. Forecasting capabilities help businesses to take appropriate action in accordance with the occasion. Consolidation is an important component of the CPM. Finance depends on the consolidation process. Business intelligence refers to transform data into information. This information is used in decision making.