Business intelligence is a strong foundation for any business strategy. In this fast moving world where every small to big enterprises are struggling, it is vital to set up a proper environment for business intelligence application. Cloud based BI is recommended because:  It reduces implementation time as cloud BI is inexpensive software that completely focuses on the core business. Cloud BI saves money, time and energy. Secondly it is very easy to manage the changing requirements according to the number of users. Thirdly it is very simple to use. Fourth reason is faster return on investment can be expected since less is invested in setting up the application. Fifthly it is simple to use as cloud based BI is independent on IT for reporting. Cloud BI also increases flexibility during execution and implementation. Lastly cloud BI serves multiple clients without reducing duplicity of data and ensuring centralization and security of data. Read more at:

According to the Business Technology Innovation Research, analytics is the topmost priority. Three key core areas comprise 2014 analytics research agenda. The first consists of a definite focus on business analytics and methods like discovery and exploratory. The people and process aspects of the research include how governance and controls are being implemented along with these discoveries. The exploratory analytics space comprises business intelligence. Value indexes, mobile business intelligence and business intelligence will provide deep explanations and ranking of vendors in these categories. The area of second agenda is big data and predictive analytics. The first research on this topic will be released as benchmark research on big data analytics which explains vendors of software that helps organizations do real-time analytics against vast data. The third focus area includes information simplification and cloud-based business analytics including business intelligence. Thus, Analytics as a business discipline is getting more importance as we move forward in the 21st century. Read more at: 

http://tonycosentino.ventanaresearch.com/2014/01/23/business-analytics-in-2014-trends-and-possibilities/

Healthcare is altering rapidly and so is the industry's need for analytics and business intelligence. Sometimes business intelligence refers to a large group of analytics, data warehousing and revelation tools. Sometimes, business intelligence tools are associated to the visualization coating only - tools that take the data and gives a visual illustration of it. The core of data warehousing is a dimension to assist the understanding, approaching and exploiting data in terms of BI. In general, a data warehouse is a centrally managed and easily available copy of data gathered from the transactional information systems of a health system. Such research and analysis enable measurement, which helps in accepting and the most informed business and clinical decisions. Sources can be internal , such as electronics health records (EHR) systems, patient happiness systems, prices or financial systems; or exterior, such as systems linked with a state or central administration . Read more at:

http://www.healthcatalyst.com/healthcare-business-intelligence-data-warehouse

Business intelligence (BI) is the larger term that depicts the accumulation and investigation of an association's own data, including sales data plus legacy documents. It addresses the inquiry of whether an organization has all the essential assets and techniques to work effectively in a specific business sector. This brainpower is regularly used to control expenses, comprehend operations and execution, and also build profit and adequacy. 

Market intelligence (MI) serves to enhance choice making. The distinction is that BI concentrates on an organization's own particular information and MI concentrates on outside data. MI provides for you a reasonable picture of business sector open doors, dangers, client necessities and the focused scene. Examining this data will help you choose how you can develop the business, addition piece of the overall industry, dispatch new items or enter new markets. 

A blend of BI and MI can reveal to you whether your inner assets are ideally adjusted to outside business sector potential. Using both MI and BI can give effective experiences – yet the test is that business knowledge and business sector sagacity information come in distinctive structures and configurations. This influences how the accessible information is gotten to, consolidated, dissected and utilized. 

All these mirror the difficulties with Big Data, implying that we frequently find our information sets are excessively expansive and intricate to control or research with standard strategies or device. To read more: http://www.globalintelligence.com/insights/world-class-market-intelligence/articles/trending-now-integrating-business-intelligence-data-with-market-intelligence-insights

Business intelligence is certainly a good area to be in right now. It is expanding faster than any other area of the enterprise application landscape. According to Gartner (an American information technology research and advisory firm), the business intelligence market (including data warehouses and CRM analytics) is growing nine percent per year. While it was worth $57 billion at the end of 2010, it will surge to $81 billion by 2014 and as high as $136 billion by 2020. Because analytics is the "combustion engine of business," organizations invest in business intelligence even when times are tough. Gartner predicts the next big phase for business intelligence will be a move toward more simulation and extrapolation. Gartner surveys show most users still focus on measurement of the past, with only 13 percent of users making extensive use of predictive analytics. Less than 3 percent use prescriptive capabilities such as decision/mathematical modelling, simulation and optimization. "This trend is changing as organizations express an interest in increasing their use of advanced styles of analytics," said Sallam (analyst at Gartner).To know more go to:

http://www.enterpriseappstoday.com/business-intelligence/gartner-taps-predictive-analytics-as-next-big-business-intelligence-trend.html

According to new market research report published by MarketsandMarkets, we get to know that Healthcare Business Intelligence (BI) market (estimated at $2,376.6 Million in 2013), is expected to reach $4,738.2 Million by 2018, growing at a CAGR of 14.8% from 2013 to 2018. Cloud BI and mobile BI have a great market growth potential as mobile usage is growing in the healthcare community. Based on end application, the market growth will be mainly driven by clinical applications. North America will dominate the market and is also expected to grow at the highest CAGR during the forecast period.

To read more, visit the following link: http://www.marketwatch.com/story/healthcare-business-intelligence-bi-market-worth-47-billion-by-2018-2014-05-12

A recent research report by Netscribes Inc., a global market intelligence firm, reveals that Business Intelligence and Analytics Market in India are growing. According to the report, continuous rise in trade and business activity across the globe have increased and this resulted in a huge amount of digital data. Over the last few years, social media also generated large amount of data. This data can be analyzed efficiently only with the help of Business Intelligence and Analytics.

To read more, visit the following link:http://www.pr.com/press-release/554334 

The visual data discovery (VDD) approach increases the probability that business managers will find the information they need in time to make effective decisions. This is the main reason behind VDD’s rapidly growing fan base. While traditional BI solutions can be invaluable, they do have limitations. Dashboards come in handy in few cases, but there is still a fundamental problem – the dashboard designer must have anticipated the need for that line of questioning or train of thought when the dashboard was originally built.  So, if unexpected questions arise, business managers end up making decisions without data, operating on gut feel alone.  And that means they end up operating without real answers at all! So, here’s the key question:  Do you ever get questions in your logistics operations that are unexpected and hard to answer? This is where visual data discovery tools excel.Visual data discovery tools provide a rich, visual environment that enables business users to easily interact with, and manipulate, information directly, hands-on.  They provide a compelling solution to help business managers explore data, without the assistance of skilled IT staff.

To know more, visit David White’s article by clicking on the following link:

http://logisticsviewpoints.com/2014/04/07/new-approaches-analytics-revolutionize-logistics/

Whether it is elections in India, or a service delivery model of a market leader in any sector, the incumbent is always at a disadvantage. Be it their government, their services like banking or healthcare, or their retail experience, the consumer wants them to continuously evolve in a direction which they perceive as beneficial to them. As time bound service contracts become passé, disruptive technology becomes available at affordable prices (think 3D printers, e-books, digital content, Google fiber, multi-core smart phones) today’s consumers and clients are exposed to a plethora of choices. With lowered exit cost barriers it is becoming imperative that a business does all it can to retain their customers.

Organizations realize that they not only have to ward off direct competitors but also cope up with tangential attacks from substitutes powered by disruptive technology. The choice between a successful well proven business model and a new idea is never easy. In the first case the organization risks its immediate client base by diverting significant funds and effort for turning an innovative idea into a winning product. This strategy has a high probability of failure which might cost them a significant market share. HTC lost a large portion of its small-medium priced phone market share in its bid to create a premium flagship smartphone model. In the second case, it believes in its business model and tries to take incremental steps to make it more robust till it is too late for them. Blockbuster, Blackberry and Borders are examples of organizations which could not counter the threat of new market players like Netflix, Android (Samsung, LG etc.) and Amazon. There is also a third case of the likes of Barnes & Noble and Nokia where the incumbent tries to play it safe by not going all out for the new technology but yet has a back-up plan to survive. So what’s the magic mantra? To me it remains the quintessential quest.

Though one thing I firmly believe in, is that the fickle consumer / client has become even more choice aware and will try out the new flavor of the month if they feel that their implicit or explicit objectives are not being met in the vendor-client relationship. Thus it is essential that organizations know the pulse of their clients and consumers and be geared towards meeting their changing demands. Analytics can play a key role here. Predictive analytics can help organizations preempt attrition by taking mitigating measures while social media and web analytics can help them know what some of their consumers are thinking and provide insights into their future behavior.

While the objective of analytics i.e. to provide actionable insight, remains the same, the demands of the information consumer have drastically changed. They want a lot more data crunched in much shorter time frames and yet presented with all the bells and whistles. With today’s scalable cloud computing infrastructure like AWS available and tons of reporting packages which play well with them it’s almost possible. It is also possible for the security conscious to invest and manage the requisite infrastructure in-house. The JIT (Just in time) lean principle applies here as well. An organization should only generate information and insights at the speed which it can take action on. Anything more could be a waste of resources.

Thus at the end of day, know the customer’s pulse, make an informed choice between evolutionary and revolutionary changes to your business model and be prepared to be blind-sided by someone your organization may have never heard of. To be or not be is an incumbent’s curse but making an informed choice and being prepared for change must never be a dilemma.

It is estimated by the research firm, Gartner, that in the year 2014, healthcare providers of India will spend approx. $1.08 billion specially to improve technological supports and IT infrastructure. R Chandrashekhar, President, Nasscom, said healthcare sector will focus more on implementing information technology to enhance their value chain.

Please go through the link for more details: http://www.dnaindia.com/money/report-healthcare-to-contribute-1-billion-to-it-sector-in-2014-gartner-1966870

To find new opportunities and minimize current problems, it is important for an organization to collect and use big data efficiently. On a day to day basis, Excel is a common tool. But when it comes to analyze huge data, sometimes Excel becomes inefficient. The probability of errors are always there in spreadsheet, especially when data set is more complex. A blog by Renat Stewart, Banking Officer at M&T Bank, talks about how to utilize Excel spreadsheet in an efficient manner.

Please follow this link : http://www.riverlogic.com/2013/05/data-complexities-prove-excel-spreadsheets-difficult-to-maintain/

The box of treasure that analytics promises, contains the ability to fully understand customer behavior, derive actionable insights, and further tailor customer experiences to meet the needs of any segment. It is estimated  that big data will grow from 12 billion dollar industry to 53 billion dollar industry by 2017. However, with various types of investments and expectations that exist across many industries; it will not be easy to achieve the capabilities needed to derive deep insights and decisions making mechanism. Many firms still struggle with capturing basic information, collecting external customer information, social media information, and measuring wallet share. However, based on a recent Forbes survey, 63% of the firms reported a transformation impact on their business, by an integrated approach to analytics, where predictive modelling, customer analytics, and big data are working together using cloud services. The investments are starting to pay off, which indicates there may really be a pot of gold that awaits those who pursue the analytics path.

To read more, visit the following link:

http://www.business2community.com/business-intelligence/reaching-pot-gold-investments-analytics-paying-0801572#ssAKHfblgoitLWGX.99