Everyone knows that football is a simple game. But, nowadays, football clubs are focusing on statistical data and that in turn help clubs to take important decisions. Football clubs are applying analytics to answer important questions. For more read the article written by The Sunday Telegraph: http://www.newindianexpress.com/sport/Why-Football-Clubs-Place-Such-Importance-on-Analytics/2016/04/17/article3384984.ece

CRM helps companies to maintain healthy relationship with clients. CRM software improves two aspects of business: productivity and profitability and the right technology, if implemented correctly, not only improves business, but also improves the user experience for your clientele. But, it is important to acquire the right technology. This article writes about few factors that are important before adopting any CRM software.  Read more at: http://it.toolbox.com/blogs/insidecrm/5-factors-to-consider-when-selecting-the-right-crm-solution-for-your-business-73169

Today data has become an important part of decision making of any organization regardless of its size. In small & medium enterprises it’s a big challenge to incorporate data driven growth to optimize growth & revenue, the main reason behind that is resource constraint usually in this situation an organization uses free resources to meet the objective. In this article we talk about varied free resources related to consulting, analytic s tools, data sets & training, to give you a snapshot related to every aspect discussed in the article Free Consulting – free analytical consulting to solve time & bound business problem, Free tools related to business intelligence & analysis, sources from where we can get free data sets & training.  Read full article at :- http://www.forbes.com/sites/piyankajain/2015/06/16/ultimate-guide-to-free-analytics-resource-consulting-tools-training/#4531c82343ac

As more and more organizations are becoming data driven, the importance of analytic or data insights is increasing. Following are the capabilities that business can adopt to turn data into insights.

Firstly, it is significant to meet business alignment, which means understanding the value a new insight will provide to the business.

Secondly, “data understanding” that is creation of glossaries, dictionary, updating the data and address where the data have been stored.

Thirdly, checking for the required quality (relevance and accuracy) of the data and accordingly seeking new adjustments.

Fourthly, Data centric process takes data as an input and not as an output in the operational processes.

Lastly, in order to establish data-centric process effectively and efficiently. Employees require training to acquire skills to handle data like six sigma quality training.

To read more:http://www.cio.com/article/3041483/analytics/5-critical-success-factors-to-turn-data-into-insight.html

Everyone is having the understanding with how to “do agile” or “be agile,” individually or as a team. Regardless of whether people are doing and being agile correctly and successfully, everyone is now busy either scaling agile or being agile at scale. But the questions are. Why? What are the main reasons for all agile conferences these days to have scaling sessions on their programs? Why are many new agile books not about individual teams anymore? Which market needs have been identified by the global explosion of scaling programs, consultants, coaches, certificates, frameworks and seminars? That is what found is: 1) Growth. 2) Coordination. 3) Orchestration. 4) Legacy 5) Complexity. To read more about it follow the article written by Jurgen Appelo (Pioneering management in creative organization)at: http://www.forbes.com/sites/jurgenappelo/2016/02/24/the-five-areas-of-scaling-agile/#7dc2fbcc2efd

Big data have existed since the time of the cave man existed in physical paper and other analog forms (stone, papyrus, tape) and was largely inaccessible. With the inception of Commercial Internet & new forms of commerce and social media, we can access information of "open source". Now technology can connect streaming and near real-time data to generate information very fast. Dynamic machine-learning algorithms can also help to discover hidden patterns and associations and graph databases has the ability to query and explore entities and their relationships in order to understand how opponent operates. It was also found that tools for geospatial analysis can help analysts to understand how events and groupings are related in space and time. To know more, please read the article by Mark Testoni (Writer at Homeland security today.us) -: http://www.hstoday.us/columns/critical-issues-in-national-cybersecurity/blog/big-data-analytics-from-forensics-to-foresight/d0c045fe32568eedefda4195d46472e6.html

Cybercrime is a continuous global threat to many industries. The risk associated with it is forcing the firms to spend large amount of money in hiring new technologies, devices and experts to combat it. Verizon Data Breach Investigations Report (DBIR) is the leading source of information about the cybercrime and security breaches, according to which 100,000 incidents of cybercrime have been observed across many industries this year. When a business becomes a victim of cybercrime, its employees, shareholders and customers also get affected. The major attack patterns identified by the report are: insider and privilege misuse, denial of service (DoS) attacks and web application attacks.

To know more, please click on the following link: https://hbr.org/sponsored/2016/04/data-breaches-arent-just-an-it-issue

In a dynamic business environment every organization is seeking profit maximization & risk mitigation approach, the article talks about the latter, in uncertain business environment business leaders at time of complex & critical decision making take decision on the basis of intuition (gut feeling) rather than holistic analysis of situation. Even with data backed decisions there is a narrower approach attached in form of point estimates & averages. In this article a new approach Prescriptive Analysis is used where business are simulating probabilities to reduce risk that helps in robust analysis. This approach gives us broader perspectives showing us a range of possibilities & helps in better decision making.Read Full article at :- Target=_blankhttp://www.forbes.com/sites/gartnergroup/2016/03/24/use-prescriptive-analytics-to-reduce-the-risk-of-decisions/#465f9994785b

If in 1 line I have to summarize the importance of article it will be, the solution is not limited to just analyzing a data, but also making sure it’s understandable & is communicated wisely to the end user for decision making. In the digital world huge amount of data is recorded every second, organization massive amount of time of monetary resources to analyse the data to churn out valuable information for decision making purpose, but unless & until these analysis are communicated in a right manner that could be understandable to the, otherwise its will be a sheer waste of valuable resources of organization. In this regard the article talks about “Info graphics” & the latest innovation in this field that can amalgamate business intelligence with narrative sciences.Read Full article :- http://www.forbes.com/sites/bernardmarr/2016/01/21/why-management-dashboards-and-analytics-will-never-be-the-same-again/#4cce3b7c3963

Small business enterprises (SBE) have a large  contribution as compared to the large business enterprises (LBE) in  the economy of a nation. Personal Asset is something of value that a person or a business, whether small or large owns.On one hand, assets and resources of a small business enterprise have been proved to be an important source of support to them, through which credit accessibility becomes more convenient for them. But on the other hand, price fluctuations of the assets of SBE and financial institution’s lending policies make the differences for these SBE in accessing the credit.

Read the whole article at: http://www.frbsf.org/community-development/files/moon_john.pdf

Business intelligence provides you a greater customer insight and predictability on a product life cycle. But such digitalization has also some disputes as well. Most people around the world are tech savvy and surfing for a new product with better features. Analytics is growing at a fast pace and is creating a backlog. Day to day new product launch is providing zero visibility on upcoming product life cycle. Removing backlogs to smart productivity as per customer's likability is the new trend of business analytics. So there are challenges like cost, security and infrastructure, availability of skilled professionals. So overcoming challenges in BI and complete leverage on it is the new mantra for business empowerment.

To read, follow: http://www.business-standard.com/article/management/the-challenges-of-business-intelligence-116041000615_1.html

In this digital world at every touch point huge amount of data is being created in seconds that tells us about the needs & wants of consumer. The capability to extract valuable insights from the huge data poses a critical challenge for any modern organization. It has become an more & more important to efficiently & effectively ( both in terms time & labor) to  conduct data mining and extract valuable information out of big data to meet the strategic objective of an organization. In this paper MAS (multiple agent system) concept is being introduced to extract value data from CRM aspect. It also gives us a 3 point model to extract out potential valuable data to manage CRM optimally.Read full article at =_blankhttp://www.csroc.org.tw/journal/JOC26_4/JOC26-4-7.pdf

This paper gives us a holistic understanding of two main topics – big data analytic & supply chain management. In this highly competitive world, every organization is looking forward to a competitive advantage in the form either cost effectiveness or better utilization of resources. To achieve this goal organizations are using a data driven supply chain to integrate the entire processes. This enables organization to stream line supply chain while mitigating the risk in an uncertain business environment. Big data analytic also helps an organization to extract important trends & information that can be used to make the systems more efficient & robust.

To read the full article click:- http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2755828

Retailers and most of the brick and mortar shops store their customer's data to understand their buying and transaction behavior. Some obscure data point that may help them become more knowledgeable about their customers. However, hidden from these in-store shopper analytics are all of the transactions their customers make outside their stores with competitors. In recent past, there are many switching of preference to online one. But this up growing online marketing basically picking the flaws of customers' real time analysis in case of brick and mortar shops. So it's high time to either integrate or dig into flawless marketing analytics.

To read, follow: http://www.forbes.com/sites/forbesinsights/2016/04/27/the-hidden-danger-in-brick-and-mortar-customer-files-amazon-prime-members/#69beabd83681

Big data analytics is becoming self-explanatory day by day to even a lame person who has lesser knowledge in statistics, analytics and data science. It is a positive sign with respect to current business purpose because we need real time analysis and that can be only possible if data interpretation and visualization becomes more feasible. There are different software like R, SAS and many other online service providers like google analytics, Piwik helps to create better data visualization and interpretation of customer and business data. Even our very own Microsoft excel has some in built data interpretation and visualization programs. But one program, called Quill, takes the trend a step further, producing text-based reports that explain the data clearly and concisely.  Think of it as an executive summary created by a computer to explain a set of data at the click of a button. So it’s time for personalize big data analytics.

to read, follow: http://www.forbes.com/sites/bernardmarr/2016/04/27/will-we-soon-no-longer-need-data-scientists/#540a99bf55f3

We can now analyze real estate data with the help of Business Intelligence or BI. BI tools are also beneficial for sellers and brokers. These tools can track prior industry performance statistics, such as sales in a given area, which in turn help sellers set asking prices that are actually competitive. In short, they are making marketing easier. For more read the article written by Sean Mallon (blogger) : http://www.smartdatacollective.com/seanmallonbizdaquk/402264/how-business-intelligence-making-real-estate-easier

Embedded Analytics mean adding features associated with BI software such as dashboard reporting, data visualization and analytics tools to existing applications. This can for the most part be accomplished in two ways: o In-house development o Purchasing and embedding out-of-the-box software. To know more about embedded analytics, follow the article written by Eran Levy (Content Manager, Sisense) : http://www.smartdatacollective.com/eran-levy/400533/does-future-lie-embedded-bi

Oil is the backbone of the worldwide economy. But the procedures to transform crude, raw petroleum into a refined item is costly. Application of analytics in the oil industry minimizes hazards and augment benefit. With analytical information, the refiner can better predict processing issues and actualize financially savvy moderation systems. With the recent advances in data and analytics, it is possible to minimize risk and maximize profit. There are several analytical tool which is helping the oil industry. They are: Unrefined fingerprinting - a diagnostic gadget measuring properties of the rough, coupled with refined predictive analytics. It offers quick reaction, on location analysis of unrefined oils and other hydrocarbon liquids. Crude fingerprinting - tests and recognizes unrefined crude before it goes into the refining process. 

For more read the article written by Tom Stanley

(Chief Technology Officer, distributed power and water GE Power): http://www.environmentalleader.com/2016/04/04/how-data-analytics-is-changing-the-oil-gas-industry/#ixzz45s52g6qt

Analytics is gaining the highest popularity day by day in the business context. Reason is very simple. This provides a real time analysis of mind share and salience. Google is trying to venture in this section and finally it positioned themselves into this arena unlike other companies. Their model is mostly web specific because most companies are tracking their customers via web activities, no of hits, activity index and frequency. Not only that it helps to you understand social presence and real time web mining. For getting all these bunch of information you need to log in in google analytics. Such real time analysis not only provide you traffic notification but also provide user cookies which is closer to site relevance. Even they will provide detailed geographic, browsing info and language specific information which helps to u understand your customers need more specifically and accurately.  

To read, follow: http://www.business2community.com/business-intelligence/getting-started-setting-google-analytics-01519623#FEKZ3JA1kj8FBQ8H.97