SigmaWay Blog

In India, banking industry plays an important role in ensuring the sustainable growth through more credit flows and reaching out to more people by financial inclusion. Thus, the retail banking systems has to handle several issues like customer identity, managing credit risk, fraud detection and prevention, customer relationship maintaining etc. Data analytics helps in this way by ensuring organizations in achieving their growth objectives. It also enables them to manage and automate large volumes of day-to-day decisions. Data analytics draws inferences from large amount of data and use these inferences within banking processes transparently. Data analytics (DA) has an effective use in the following stages of customer lifecycle- Customer targeting -DA helps to develop right offer to right customer by understanding their behavior. Customer Acquisition- DA benefits banks by acquiring profitable customers at low cost and also helps to understand the affordability status of customers. Customer Management- DA helps banks to ensure responsible lending and to undertake effective risk management measures which in turn provide better customer services. Collection- Banks can use DA to reduce delinquency, manage cost of collections, and reduce wasted time by knowing the right value of the customers according to their worth retaining for the future. Read more at:http://www.informationweek.in/informationweek/perspective/287791/indian-banks-improve-customer-lifecycle-analytics?utm_source=rss&utm_medium=rss&utm_campaign=how-indian-banks-can-improve-the-customer-lifecycle-by-using-data-analytics

An investment banking firm  has developed a ‘stochastic model’ its predictions to generate distribution of results for the each of the 64 matches to be played during WC.The predictive model is part of the the World Cup and Economics 2014. Stochastic modeling is used to forecast outcomes, even in the field of sports. This mathematical model predicts the probability of outcomes. According to the model, predicting the outcome of the WC is based on predictions for each match on “regression analysis”. This analysis used 14,000 observations to approximate the coefficients of its model. The dependent variable is the number of goals attained by each team during a match. Based on this analysis Brazil fares as the winning team. The next are Argentina and Germany, but these two teams have inferior probability. Read more at:

http://blog.arekibo.com/world-cup-2014-the-use-of-analytics-to-predict-the-winning-team/

Continually changing markets affect all industries; sooner or later the world will move on. Any product or service will eventually become obsolete if it is not refined to keep up with these ever-changing market demands. Staying still is not an option. A good Continuous Improvement process will deliver rapid evolution into any business. If one can improve faster than their competitors then they will be able to secure more of the market in future. The four basic requirements needed to develop a flourishing Continuous Improvement culture are stating your intention to improve, harvesting opportunity ideas i.e. initiating a continual improvement process, empowering the workforce i.e. deploying a continuous improvement culture, which is easy where the staffs are empowered to improve and measuring the improvement culture by the number of identified success and celebrating the success. To know more about these four requirements go to:

http://adaptivebms.com/How_to_establish_a_Continuous_Improvement_Process/

The healthcare industry historically has generated large amounts of data, driven by record keeping, compliance & regulatory requirements, and patient care. While most data is stored in hard copy form, the current trend is toward rapid digitization of these large amounts of data. Driven by mandatory requirements and the potential to improve the quality of healthcare delivery meanwhile reducing the costs, these big data hold the promise of supporting a wide range of medical and healthcare functions, including among others clinical decision support, disease surveillance, and population health management. Big data in healthcare refers to electronic health data sets so large and complex that they are difficult to manage with traditional software or hardware; nor can they be easily managed with traditional or common data management tools and methods. Big data in healthcare is overwhelming not only because of its volume but also because of the diversity of data types and the speed at which it must be managed. The totality of data related to patient healthcare and well-being make up “big data” in the healthcare industry. To read more about the advancement of big data in Healthcare visit: http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care.

Big Data has joined the crowd of millions with the fever of 2014 FIFA World Cup on. Much like the social media, marketing, advertising- big data has become important. With a whooping figure of 3.2 billion people who watched the last World Cup, this year the figure is expected to explode even further. Ronaldo's Nike shoes ad is one of the example to illustrate the growth and potential of online videos. It was seen online by 78 million people before it appeared on TV. 12.2 million tweets about the 'first-match' all during the hours match was played, depicts the social captivity of the universe. An event of this magnitude is likely to generate Big Data. The 2014 World Cup is so big that it is expected to have a negative impact on the economy of Brazil, as "major Brazilian cities have the power to grant local public holidays on the dates that World Cup matches are played". Read more at: http://www.infinitive.com/category/big-data/

Why we people do not get proper consumer service is the biggest question now. Apart from fast food joints the worst consumer treatment is acquired from the people who work for doctors, when ironically we should have got the best treatment there. In cases of emergencies where e require immediate attention we are told to fill forms moreover calls irritate you on confirming whether you would be able to clear the bills even if the insurance doesn’t. Apart from banks, medical customer service frustrates people with long calls and often hang them up. The only difference is that you speak with a live person instead. Then there are these unfriendly tools on the websites which assures you about the non occurrence of the problem again but if we had spend time searching every inch of the website this wouldn’t have happened in the first place. read more at:http://managementhelp.org/blogs/training-and-development/2012/03/07/poorest-customer-service-in-the-land-where-it-really-counts/ 

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

Online social networks give vital information. If someone posts something on Twitter, Facebook, they generate a digital footprint. If someone reads it, or watches a YouTube video, they add to the data trail. We can analyze it to take business decisions. The information that we look for depends on business goals. Some companies use social media to increase sales, some concentrate on brand consciousness, others are focused on brand trust, or increasing customer satisfaction. An analyst records keywords which customers are discussing, use them into status updates or tweets to be more relevant to customers. They check which messages attract readers most so that they can reach new customers. There are different social media analytics tools. Some are Hoot Suite; span multiple channels, Twitter etc. Some tools include workflow; they allow social media managers to connect information to others. Customer feedback raises sentiment analysis. Read more at: 

http://www.theguardian.com/technology/2013/jun/10/effective-social-media-analytics

Technologies, today, have enabled bank customers to make payments, track spending or move money between different accounts easily just by going online with a PC, phone or tablet. People are using popular websites like PayPal, for cheap loans and saving returns. Cash machines, ATMs have also become more advanced and multi-functional which means customers will soon be able to send money overseas, receive money transfers, purchase foreign currency and carry out transactions such as applying for loans. According to futurologists, smartphones will become mobile wallets soon enabling a customer to use discount vouchers and earn cashback on any transactions.  Banks will also have to exploit social media well i.e. listening to customers and have conversations on networks such as Twitter and Facebook. Mobile banking also helps banks to know the physical location of their customers and provide services accordingly. For example, banks might text to offer foreign currency when the customer arrives at an airport. However, new rules and improved technology have made it easier to switch current accounts and will make it even easier in future which in turn provides enough incentives for the banks to excel in technology, in all aspects of their service. Read more at:http://www.thetimes.co.uk/tto/public/moneymatters/article3925149.ece

Big Data does not necessarily mean good data. And that, as increasing number of experts are saying more insistently, Big Data does not automatically yield good analytics. As everyone realizes, bad data equates to bad intelligence, which equates to bad decision-making and thus equates to bad things happening in your business. If the data is incomplete, out of context or otherwise contaminated, it can lead to decisions that could undermine the competitiveness of an enterprise or damage the personal lives of individuals. So how do we detect that? Firstly it's important to understand where your data originates. Has it been captured by your own work force? What measures were put in place to ensure that the very best job has been done and that the data being captured lives up to expectations? What are the requirements for the data your business needs and uses daily? Do you enhance your data from other sources (external or internal)? An example of how out of context data can lead to distorted conclusions comes from Harvard University professor Gary King, director of the Institute for Quantitative Social Science who was attempting to use Twitter feeds and other social media posts to predict the U.S. unemployment rate, by monitoring key words like "jobs," "unemployment," and "classifieds." To read more about the episode visit: http://www.infoworld.com/d/business-intelligence/big-data-without-good-analytics-can-lead-bad-decisions-225608.

Government today is suspected to be unworthy by most of us. And it is totally justified because of the increasing corruption and selfishness creeping in the society. US president Barack Obama has agreed to keep full transparency between him and the people and prove his credibility. He has signed an 'Open Data Policy' to create an open government. The idea behind is simple. All the government departments are required to update their expenses on the website USASpending.gov. People have full access to this website and can mine the data available for finding any expense that is unnecessary or excessive. Only some areas covering the expenditure of military and covert operations are unlikely to be revealed. Read more at: http://analytics.theiegroup.com/article/538f58943723a83b6f000205/Obamas-Open-Data-Policy

Big data is extending the range of data types in banks that can be covered beyond those common transaction data, and it helps to address problems. Some important areas in banking like fraud analytics, customer analytics and web analytics are also enhanced by big data. Today's improved technologies and frameworks enable banks to get customer data, graph data and geo-location data easily from customers, other banking channels etc. which in turn yields significant insights that can be used in customer marketing, risk management and infrastructure optimization. Big data projects are beneficial as they enhance areas like web security, compliance checks and customer analytics and thus cause the banks to make relevant investments in it. Banks need to know and understand the characteristics of the data they need and need to capture more information beyond risk and marketing data. If the users have sound idea of the nature of the available data, their strategies of making a rough analysis and then use the results to guide them in refining the analysis, will be more effective. This approach helps banks to analyze more data and gain insights that were previously difficult to achieve, without changing the current analytical infrastructure of the banks. Read more about this in Jaroslaw Knapik (Senior Analyst, Financial Services Technology)'s article link:http://www.cloudcomputing-news.net/news/2014/jun/16/big-data-set-to-boost-the-effectiveness-of-analytics-in-banking/

In financial markets, the ability to take risk while investing indicates risk profile. This is an important variable considered by a financial planner before advancing a product to an investor. Risk profile classifies the individuals in conservative, moderate or aggressive. Wealth management services suppliers use psychometric surveys to estimates the risk profile of a customer. Generally, the individual taking the test is asked to choose that option that best describes his response to the position out of the many options provided. The responses help the financial planners and wealth managers to insight how the person will react in a given situation. That is the basis of the individual's capacity to take risks. The survey minimizes the probability of wealth managers from being biased in the financial-planning process. An individual taking the test should be honest enough to select that option which best explains him.Read more about this aspect at: 

http://articles.economictimes.indiatimes.com/2011-04-21/news/29459327_1_wealth-managers-risk-profile-financial-planner

The biggest fallout of the big data revolution -- where every type of business gathers and analyzes data -- is a massive human resources shortage. Across the globe, thousands of data analytics jobs are not filled up because of a shortage of qualified manpower. Data analytics is not coding work but thinking work, described Dinesh Kumar, a professor of quantitative methods and information systems at the Indian Institute of Management in Bangalore. "The potential is huge, but we are behind in creating a talent pool," he said. Quality is a worry, and companies are finding it difficult to recruit top-class people, Kumar said. Data analytics as a job discipline became mainstream almost a decade ago, and the demand for trained professionals has been growing steadily since. Given India's reputation for the availability of professionals in varied disciplines at reasonable costs, global banks and financial services firms were the first to migrate their analytics work to India, followed by pharma and life sciences companies. Global retailers, consumer firms, logistics firms, consultancies, and engineering firms have all begun routing their data analytics work to IT services providers and specialized analytics service providers in India. In India, which has long been a hub for outsourced technology services work, the scarcity of analytics talent is particularly acute, as global companies send increasing numbers of data-related tasks to the country. To know more about this go to:

http://www.techrepublic.com/article/indias-high-demand-for-big-data-workers-contrasts-with-scarcity-of-skilled-talent/ .

Associations are always searching for approaches to help their clients. Better administration, modified items, and value certifications are simply a few ways that associations attempt to guarantee client dependability. For administration and information suppliers, be that as it may, it is not generally simple to give included esteem past the administration or information gave. The guarantee of more information and better perceive help guarantee client fulfilment by giving them the tools they have to addition included experiences. Non-profit, educational, and government organizations are illustrations of commercial ventures that have posted demographics or other explanatory information online for open utilization. This means associations create provisions that are inserted inside their answers that could be given as an administration to clients. This right to gain entrance to investigation assists furnish clients with more extensive experiences into their records, clients, patterns, reporting needs, and so on. Generally, associations incorporate these additional reporting or dismemberment capacities as an additional to the organizations or information successfully gave. To read more visit: http://midsizeinsider.com/en-us/article/using-embedded-analytics-enhanced-customer-experie#.U5_Dw_mSxvM 

This is the 21st century and here everyone expects more from business interactions. Call center analytics is an efficient and quick way to gauge its overall approach to Customer Relationship Management (CRM). Earlier, call recordings were thought to be an approach for analyzing customer demands. But due to its shortcomings like delays in recording and transcribing, has open doors to new methods. Every company seeks for newer methods to differentiate their customer service experience and optimizing it to the fullest level. A recent example is of Amazon Mayday Functionality which promises help from a real person with prior knowledge of functionality and the service is delivered with high quality video experience. With visual demonstrations it is easier to resolve the problems sometimes in matter of seconds. The greatest contribution for this technology is made by WebRTC supported on desktops and even android phones. It has proved itself successful providing the customers with the best they deserve. Read more about this aspect in Ashley Unitt (founder of NewVoiceMedia)'s article link: http://www.mewvoicemedia.com/blog/contace-centre-innovations

According to Gartner, more than 80 percent organizations will fail to develop a consolidated data security policy which will result in potential non-compliance, security breaches and financial liabilities. As big data is transforming the way of storing, processing and accessing data, so to avoid uncoordinated data security policies and security chaos Chief Information Security Officers (CISOs) need to develop and manage an enterprise data security policy which will define data residency requirements, business needs, stakeholder responsibilities, data process needs and security controls. At first they need to evaluate current implementations of Data-centric Audit and protection solutions against data security policies, then they need to find out the gaps in the current implementation and finally review the risks with business stakeholders against those potential DCAP solutions. To do so, CISOs also need to build a good partnership with those stakeholders to develop a new management structure. Read more at:http://www.informationweek.in/informationweek/press-releases/296090/-centric-security-focus-gartner/

Big-data analytics impacts any organization economically, but often data scientists hope for benefits.The reality of where and how data analytics can improve performance varies across industries. Customer-facing activities- the greatest opportunities lie in telecommunications. Here, companies benefit by focusing on analytics models which optimize pricing of services, maximize marketing spending by predicting on where product promotions will be most effective, and identify ways for withholding customers. Internal applications- In industries, like transportation services, models focus on process efficiencies-optimizing routes. Hybrid applications- Some industries need both. Retailers use data to influence next-product-to-buy decisions and to choose the best location for new stores or to catch flows of products through supply chains. Companies operate along two horizons: capturing quick wins to build momentum while keeping sight of longer-term. Open data- swelling reservoirs of external data. Models are often improved combining these data with the existing ones for better business outcomes.. Read more at: 

http://www.mckinsey.com/insights/business_technology/views_from_the_front_lines_of_the_data_analytics_revolution

In the present world, advertising is shifting towards digital media, and experts say that small business owners should keep up with that trend in spite of prevalence of billboards and newspapers ads. Whatever the product is, marketing the product to target customer is critical. With the limited budget advertising decisions should be taken wisely. According to Eric Schiffer (head of marketing firms' digitalmarketing.com and socialmediamarketing.com) "You can easily throw a lot of money down the drain if you don't think about the right strategy and right platforms". Owners can build a local business profile on either Facebook or Twitter, and they will be presented with buttons to "promote" or "advertise" their page. Using this process will enable the owners to identify and convert customers at far less cost compared to search based advertising. According to Sidney Smith "E-mail is still king, and building out your e-mail list is so important". Services such as ConstantContact, Vertical Response and iContact can be used to manage an e-mail marketing list. Companies uses GPS data to push coupons and deals via text messages to individuals near a store. To know more about usage of social media, e-mails, text messages and loyalty cards for advertising visit: 

http://www.washingtonpost.com/business/on-small-business/small-business-guide-how-to-invest-your-digital-advertising-dollars/2014/04/20/67f5ad6c-c4a7-11e3-bcec-b71ee10e9bc3_story.html  .