Any enterprise of todays global market that aims at having an effective and efficient business intelligence systems in place and focuses to gain its competitive edge in the global market, have its targets set to definitely meet their customer requirements, have a key focus over the business intelligence dashboards. Simple and clear if asked for the need at which exactly a business intelligence dashboard is required, its all towards the processes of managing and monitoring the corporate performance and also for sure to measure it.
The state of an enterprise's business performance can be attained and glanced in a view available in a business intelligence dashboards by individuals across the organization so that they can have a clear overview of the processes and can evaluate the performance. These dashboards are helpful for the enterprises in the process of attaining an accurate and timely reports across the defined windows, further at which any deviations or abnormalities if exists, can be identified. Solving these anomalies at the initial stage helps in avoiding business issues at a later stage and one can have an input stage at which they can further drill down into the issues and identify their root causes.
Moving ahead from the root cause analysis that is required in solving the issues related to a business of an enterprise, Business Intelligence dashboards are advantageous in providing the key information and illustrative views. Being able to be delivered as a maximized caliber of visualization by having the right components in place like those of graphs, charts and gauges, a Business Intelligence dashboard, would be definitely be able to deliver numerous formats of data representations which are suitable and particularly those which meet the specific requirements of the business users with ease. On a whole these dashboards of Business Intelligence in an enterprise are also flexible and easy to manage as far as the context of Information Technology is considered.
Here comes up a next phase to understand the importance of these dashboards that are utmost prioritized for any business optimizations and accomplishing advanced business opportunities. In a normal thought process, when heard the term-dashboards, it states various things to different individuals as per their work, requirements, awareness and so on. It gives various insights based on the individuals understandings such as –
A dashboard could mean an interactive technology that aids maximum balance of user associations. To some others , a dashboard is an immobile, over a glance as a report or a drill down interface that provides an additional insight. Based on these different levels of user understandings and their comfort levels with existing technologies, Business intelligence dashboards are designed. Lets explore more in these scenarios in the later articles from our experts desk.
Friday, May 21, 2010
Thursday, May 20, 2010
Data latency in Business Intelligence
Business Intelligence in todays global market is making its mark across enterprises in handling the effective decision making and carrying forward with all the processes in time lines. Having been implemented and used in such rapid phase scenarios, todays business intelligence fills the gaps that exist among the processes of analytics and operations.
Characterized as the agile phase of technology development, business intelligence has all of those complicated queries in relation to data mining now being executed within seconds avoiding long execution hours as earlier. All these innovations or revolutions seems to be going fine, now lets try to explore what exactly is this concept in the title that states about data latency in business Intelligence.
Not exactly interrupting the discussion of business intelligence, lets try to understand more in the areas of data latency and its role and importance in todays business intelligence, starting from a general overview as one can state that data latency is the time taken to collect and store the data in the system wherein all the real-time business intelligence systems have some delay due to one or the other reasons. But the ultimate goal always lies in reducing the time delay that may occur from the happening or start of a business event to a corrective action or declaration being launched.
In a more elaborated terms, to be stated, data latency refers to the dryness of data at which the data value degrades with age at a rapid phase. The updated data and the fastest response times are needed all the time when enterprises rely over the real-time business intelligence to skillfully help them with on-the-spot decisions.
One need to work well with data latencies so as to provide the latest data values to the data mining engines that provides and meets the tactical and strategic needs of business intelligence and be able to be merged into a single solution. Crossing the barriers as such like data latency in the process of effective and efficient business intelligence in the real time across the global market is always necessary for the enterprises.
Simplified across three broad categories, data latency is of the forms - real time, near time, some time, as per discussions in business intelligence.
In any of these contexts, performance of the database must also be taken into account simultaneously so as the process proceeds with a - one process updating the database as faster as possible and another process is carried out in extracting the updated information.
Lets explore more in working and handling the data latency in the next article.
Characterized as the agile phase of technology development, business intelligence has all of those complicated queries in relation to data mining now being executed within seconds avoiding long execution hours as earlier. All these innovations or revolutions seems to be going fine, now lets try to explore what exactly is this concept in the title that states about data latency in business Intelligence.
Not exactly interrupting the discussion of business intelligence, lets try to understand more in the areas of data latency and its role and importance in todays business intelligence, starting from a general overview as one can state that data latency is the time taken to collect and store the data in the system wherein all the real-time business intelligence systems have some delay due to one or the other reasons. But the ultimate goal always lies in reducing the time delay that may occur from the happening or start of a business event to a corrective action or declaration being launched.
In a more elaborated terms, to be stated, data latency refers to the dryness of data at which the data value degrades with age at a rapid phase. The updated data and the fastest response times are needed all the time when enterprises rely over the real-time business intelligence to skillfully help them with on-the-spot decisions.
One need to work well with data latencies so as to provide the latest data values to the data mining engines that provides and meets the tactical and strategic needs of business intelligence and be able to be merged into a single solution. Crossing the barriers as such like data latency in the process of effective and efficient business intelligence in the real time across the global market is always necessary for the enterprises.
Simplified across three broad categories, data latency is of the forms - real time, near time, some time, as per discussions in business intelligence.
In any of these contexts, performance of the database must also be taken into account simultaneously so as the process proceeds with a - one process updating the database as faster as possible and another process is carried out in extracting the updated information.
Lets explore more in working and handling the data latency in the next article.
Simulations in Business Intelligence
Are Simulations in Business Intelligence have already become established?
Well, without an introduction getting straight away into the topic seems to having an understanding over the present state and role of Simulations in Business Intelligence in the global market.Lets start with trying to know the straight away question, with regard to the simulations in Business Intelligence, the answer would be simply yes. Never late, lets get into the facts that reveals the key importance of simulations in todays business intelligence.
Fact based surveys show that 55% of respondents are having simulations in place and using them in their enterprises towards the education of their manpower. And similar in these lines, around 80% of the respondents have either developed simulations or they are in the process of acquiring them.
What is all important here in analyzing these reports and surveys and truly understanding the key importance of simulations is that – Any enterprise of the global market need to have intelligent decision making systems and proceed through increasingly emulous environments, avoiding poor decisions and adding up an effective decision making so as to make the enterprises stable in the market.
Managing the maximized prices in the processes of creating simulators by having in place an effective infrastructure in the enterprises and in the similar lines managing the quality of the services and products and more over the business intelligence simulations, makes any enterprise come across the natural stop gaps and go ahead with the usage of the simulations in their respective enterprises and also increase the usage of these tools in the upcoming years.
With regard to any major innovation in the past, the adoption of Business Intelligence simulations seems to be good and its impact also is at a higher expected rate in the global market having its own areas of key benefits. Effective usage of simulations definitely leads to the process of proper cost analysis that rely over the related activities.
It also streamlines the processes of resource utilization in an effective manner. Identification of the barriers and working to fill the stop gaps can be made possible with this. Either used in integrated model or standalone, simulators work well in the enterprises. Have a glance into a more focussed areas in these processes in the later articles from our experts desk.
Well, without an introduction getting straight away into the topic seems to having an understanding over the present state and role of Simulations in Business Intelligence in the global market.Lets start with trying to know the straight away question, with regard to the simulations in Business Intelligence, the answer would be simply yes. Never late, lets get into the facts that reveals the key importance of simulations in todays business intelligence.
Fact based surveys show that 55% of respondents are having simulations in place and using them in their enterprises towards the education of their manpower. And similar in these lines, around 80% of the respondents have either developed simulations or they are in the process of acquiring them.
What is all important here in analyzing these reports and surveys and truly understanding the key importance of simulations is that – Any enterprise of the global market need to have intelligent decision making systems and proceed through increasingly emulous environments, avoiding poor decisions and adding up an effective decision making so as to make the enterprises stable in the market.
Managing the maximized prices in the processes of creating simulators by having in place an effective infrastructure in the enterprises and in the similar lines managing the quality of the services and products and more over the business intelligence simulations, makes any enterprise come across the natural stop gaps and go ahead with the usage of the simulations in their respective enterprises and also increase the usage of these tools in the upcoming years.
With regard to any major innovation in the past, the adoption of Business Intelligence simulations seems to be good and its impact also is at a higher expected rate in the global market having its own areas of key benefits. Effective usage of simulations definitely leads to the process of proper cost analysis that rely over the related activities.
It also streamlines the processes of resource utilization in an effective manner. Identification of the barriers and working to fill the stop gaps can be made possible with this. Either used in integrated model or standalone, simulators work well in the enterprises. Have a glance into a more focussed areas in these processes in the later articles from our experts desk.
Wednesday, May 19, 2010
Adaptive Business Intelligence
The conception of the term adaptability is promptly gaining in recognition in todays businesses. In general, adaptability has been evolved into everything from robotic car transmissions to attentive search engines to else where and also it emerged into todays global business management. Here comes a new term in similar lines - adaptive business Intelligence.
Adaptive Business Intelligence, seems to be new when the term adaptive is added ahead of Business Intelligence, not exactly as said, but definitely there is an additional thing to the existing till date Business Intelligence in the enterprises and in the present global market. Effective Decision making is what that is always heard about the key role of Business Intelligence in any enterprise, wherein the effect or change of the so far taken decision in the future is focussed in a new broad term – Adaptive Business Intelligence.
Avoiding confusion over the definition or statements, Adaptive Business Intelligence focussed over effective decision-making and in addition to that it also involves continuously improvising the future recommendations. More or less to be able to adapt to changes in the global market and enhance the quality of decision outcomes within the time is the overall outcome with the adaptive business intelligence.
Combining three components – prediction, adaptation, optimization in any business scenario makes it possible to achieve a new business discipline, undoubtedly stated as -Adaptive Business Intelligence. To a more broader elaboration, Adaptive Business Intelligence can be defined as the practice of having prediction and optimization techniques and using them further in the process of creation self learning decision systems.
As known in general that most of the existing business intelligence systems access data from a wide variety of sources and transform that into information and knowledge through sophisticated analytic and statistical tools and go ahead with the processes of provide a graphical interface and present the results. One a whole, this may not guarantee the right or best decision outcomes.
Managers across the enterprises work around in a dynamic and ever-changing economic and social environments and therefore require constant decision support in parallel time lines that gives an exact overview of what is the best decision that can be made now and how will it change in the future.
Here starts the statements that the future of business intelligence definitely lies in the development of systems that can independently and consecutively enhance decision-making among the scenarios of changing business environments, rather than the tools that produce reports based on the present standards of quality and performance. Lets go ahead with the emerging trends of the future in the adaptive business intelligence in the later article from out experts desk.
Adaptive Business Intelligence, seems to be new when the term adaptive is added ahead of Business Intelligence, not exactly as said, but definitely there is an additional thing to the existing till date Business Intelligence in the enterprises and in the present global market. Effective Decision making is what that is always heard about the key role of Business Intelligence in any enterprise, wherein the effect or change of the so far taken decision in the future is focussed in a new broad term – Adaptive Business Intelligence.
Avoiding confusion over the definition or statements, Adaptive Business Intelligence focussed over effective decision-making and in addition to that it also involves continuously improvising the future recommendations. More or less to be able to adapt to changes in the global market and enhance the quality of decision outcomes within the time is the overall outcome with the adaptive business intelligence.
Combining three components – prediction, adaptation, optimization in any business scenario makes it possible to achieve a new business discipline, undoubtedly stated as -Adaptive Business Intelligence. To a more broader elaboration, Adaptive Business Intelligence can be defined as the practice of having prediction and optimization techniques and using them further in the process of creation self learning decision systems.
As known in general that most of the existing business intelligence systems access data from a wide variety of sources and transform that into information and knowledge through sophisticated analytic and statistical tools and go ahead with the processes of provide a graphical interface and present the results. One a whole, this may not guarantee the right or best decision outcomes.
Managers across the enterprises work around in a dynamic and ever-changing economic and social environments and therefore require constant decision support in parallel time lines that gives an exact overview of what is the best decision that can be made now and how will it change in the future.
Here starts the statements that the future of business intelligence definitely lies in the development of systems that can independently and consecutively enhance decision-making among the scenarios of changing business environments, rather than the tools that produce reports based on the present standards of quality and performance. Lets go ahead with the emerging trends of the future in the adaptive business intelligence in the later article from out experts desk.
Tuesday, May 4, 2010
Business Intelligence Trends- 2010
An earlier discussion of Business Intelligence in the market gave an insight over the enterprises for improvising many of its areas like customer Management, Enterprise Project Management, etc. Lets focus more over the trends of Business Intelligence in the market in 2010..
The desire and need of the enterprises to increase its savings and get hold of its revenue across the industries led to a phase of rapid improvement and growth in the Business technologies. When moved to a bottom line of this growth, there are certain changes on the packaging, delivery of the Business Intelligence tools and its utilization by the end users.
Advancements in the areas of offerings for an effective and collaborative decision-centric business intelligence is one of the emerging trend that makes decisions as the major central focus of the offerings.
Data Quality and Data Integrity are rising with Data Management in Business Intelligence so as to build an integrated Information Management Platform that holds structured and unstructured data.
Existing traditional enterprise applications like ERP, CRM and SCM provides access to even single piece of data, like monthly sales figures, etc. The ultimate goal over here is to turn the huge amount of structured or unstructured information to be extracted, transformed, loaded, from the existing data management tools ..That is where the expertise with Business Intelligence comes into existence across the organizations.
Interest in Software-As-A-Service business intelligence (SaaS Business Intelligence) is one of the major trends in todays market. Enterprises find SaaS easier to implement and also as another saving option. It’s an opportunity to have enterprise tools without much clamor. Lets have an insight over the key areas of business intelligence and its significant impact in the market in the later article from our research desk.
The desire and need of the enterprises to increase its savings and get hold of its revenue across the industries led to a phase of rapid improvement and growth in the Business technologies. When moved to a bottom line of this growth, there are certain changes on the packaging, delivery of the Business Intelligence tools and its utilization by the end users.
Advancements in the areas of offerings for an effective and collaborative decision-centric business intelligence is one of the emerging trend that makes decisions as the major central focus of the offerings.
Data Quality and Data Integrity are rising with Data Management in Business Intelligence so as to build an integrated Information Management Platform that holds structured and unstructured data.
Existing traditional enterprise applications like ERP, CRM and SCM provides access to even single piece of data, like monthly sales figures, etc. The ultimate goal over here is to turn the huge amount of structured or unstructured information to be extracted, transformed, loaded, from the existing data management tools ..That is where the expertise with Business Intelligence comes into existence across the organizations.
Interest in Software-As-A-Service business intelligence (SaaS Business Intelligence) is one of the major trends in todays market. Enterprises find SaaS easier to implement and also as another saving option. It’s an opportunity to have enterprise tools without much clamor. Lets have an insight over the key areas of business intelligence and its significant impact in the market in the later article from our research desk.
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