SigmaWay Blog

Analytics has now become an integral part of cricket. Before the match begins, there is a series of analysis about the pitch, weather conditions, weather predictions, history of two teams against each other, history of the teams on the particular ground, in the particular country, among others . Similarly, each player of the teams gets analyzed in great details, in terms of his records, his performance against the opponent, on the pitch, his strengths and weaknesses. Each player is also analyzed as a fielder in terms of the history of his catches taken or dropped. Strategies of captain get predicted and its possible impacts are discussed. The list is just endless. Cricket is no longer only the game to be played on the ground. Much of it happens off the ground, using analytical tools.

Satish Pendse, president of Highbar Technologies Ltd, an HCC group company, explains how he sees cricket today with technology impacting the viewing experience. To know more, click on the link below

http://ibnlive.in.com/news/cricketnext/real-cricket-action-happens-off-the-ground-with-analytics-highbar-tech-cio-satish-pendse/533130-78.html 

The National Hockey League (NHL) is focusing on making a substantial investment in analytics to evaluate players' performance. Other than ticket pricing, analytics can be applied in other revenue stream like sponsorship investments by corporate partners. Using analytics in sports sponsorship provides answers to sponsors like why they are getting value by working with a sports organization. It also helps to state issues when a team or athlete is unsuccessful in competition. Thus, a wealth of new data is available to sports organizations. To know more, go through the article by Adam Grossman, Ben Shields, Irving Rein (authors of The Sports Strategist: Developing Leaders for a High-Performance Industry) at: http://blog.oup.com/2014/10/advancement-sports-analytics-business/

Auto Trader is an automotive classified website located in the United Kingdom, owned by Trader Media Group. The Auto Trader Group is conveying market insights to motor vehicle dealers who advertise on its website at a high speed with the help of Hadoop and other analytics software. The analytics project, called Audience Hub, has helped transform the website. The company is creating a web portal from which their customers may access data on consumers' interaction with their vehicle listings. To know more, go through the article by CLINT BOULTON (Staff Reporter for CIO Journal) at: http://blogs.wsj.com/cio/2014/10/14/how-autotrader-put-analytics-in-the-drivers-seat/

Finding balance between data size and analytical modeling needs can be a problematic process in big data analytics. But it is essential for the success of big data analytics projects. The size of big data sources at social networking companies can obstruct analytics efforts. So, restraining the opportunity of an analysis by using data sampling techniques can be helpful. On the other hand, there are many businesses that lack the data needed to answer key business questions. For those organizations, development of effective analytical models can only take place after new data types are acquired and their analytics infrastructure is built. To know more, go through the article by Ed Burns (site editor of SearchBusinessAnalytics) at: http://searchbusinessanalytics.techtarget.com/feature/Balance-required-between-big-data-volume-analytics-needs

A data-centric management culture is as important as the technology investments in a company. Data science i.e. the extraction of useful information and knowledge from data is considered to be within the operational structure of financial technology organizations. For most financial services organizations, 60 to 65 percent of IT budgets are dedicated to maintaining the core transaction processing systems. After general operating and personnel costs are deducted, less than 10 percent of the budget is left for new systems development. To know more about how these companies who are trying to incorporate data analytics processing, go through the article by Don Campbell (Managing Principal & Founder, RightCourse) at: http://www.banktech.com/big-data/the-importance-of-fostering-a-data-centric-management-culture-/a/d-id/1315979?piddl_msgid=261430#msg_261430

According to Jayakanthan Chidambaram (Associate Technical Architect, Aspire Systems), sustaining in the market with a persistent growth is considered to be one of the greatest challenges in any industry. Companies are focusing their investments on business intelligence technologies in order to predict behavior and consequences from patterns found in large volumes of data. Predictive analytics transforms data into important and useful information. Data analysis can be broadly categorized into 4 types - Descriptive, Simple Statistical Summations, Prescriptive and Predictive. Personalization based on location, behavior and preferences are driving how organizations should cater to customer needs and grow their business. When organizations adopted Business Intelligence, they took the first step towards understanding what is currently happening in their business. Now is the time to take that maturity to the next level where the need is not only to know what is happening but also be able to predict what is about to happen. Read more at: http://www.informationweek.in/informationweek/perspective/298003/predictive-analytics-future-business-intelligence?utm_source=referrence_article

According to Stephanie Miller (customer advocate and a champion for marketers), to develop the results of content marketing, one needs to apply an analytics-based approach that focuses on topic, network and content. Choice, Customization, Connect and Communicate. By concentrating on these four "Cs" marketers can evolve from offers to solutions. Yet, at the end of the day there are performance metrics to be met and revenue targets to be reached. A successful content program will also invest in analytics to ensure that one is using the messaging, offers, format, and channels most likely to drive the major visitors and interactions. There is never a data quantity problem as such. The best results will come from a blended approach of channels and content types that are both satisfactory to the most valuable client members as well as wide-ranging enough to appeal to all other customers. Read more at: http://www.clickz.com/clickz/column/2371279/content-and-analytics-a-strategic-combination

According to Dermot O'Kelly (Senior Vice President for Oracle UK, Ireland and Israel region) for the past few years the stage is being set for an analytics based future in which large volumes of valuable information can be collected and used to take informed decisions more efficiently. The rise of big data has been rapid. But very little emphasis has been placed on trying to understand exactly how big data can impact and improve our lives. Big data tools help in linking all information together and assess it from various standpoints at once in the hope of detecting new insights, to approach difficult questions from a fresh angle, or to process huge data sets very quickly. They also make the collection and processing of this data exponentially faster than before. Read more at: http://www.in.techradar.com/news/world-of-tech/Big-data-in-the-real-world/articleshow/42649169.cms

There is an increased demand for surveillance systems by civil and government agencies which has given rise to the global market for facial recognition. This is due to growing number of crimes and terrorist activities globally. Furthermore, acceptance of facial recognition in the entertainment industry and consumer electronics is expected to raise the demand for this kind of technology. Its international market comprises of 2D facial recognition, 3D facial recognition, and facial analytics. The demand for these facial recognition technologies is further influenced by increasing demand from various other industries like retail, banking, financial services and insurance (BFSI), and others. The global facial recognition market is dominated by players that develop facial recognition technology solutions. Read more at: http://insurancenewsnet.com/oarticle/2014/09/16/global-facial-recognition-market-an-overview-of-growth-factors-and-future-prospe-a-555987.html#.VBkPJPmSzo4

According to Jason Bowden (a contributor to Business 2 Community), branding is a means by which a company is able to build their own identity and to communicate what their products and services are. In order to promote branding, brand managers always try to point out that their marketing campaign's focus is on consumers. These brand companies can learn more about their target customers with the help of big data analysis. The entry of data provides plentiful information that helps these companies in determining the various aspects that will yield better profit. Big data provide a window of opportunity for brand companies to know what products their target customers want. By instilling big data analytics, it is easier for marketers to know about their competitors and thus improve their digital marketing. There are other benefits in using big data. To know more about these benefits, follow: http://www.business2community.com/big-data/infusion-brand-marketing-big-data-analytics-0994537

Big data generated by drones is useful in every sector including monitoring data of animal cruelty on farms and surveillance data from military drones. The drones' usage needs a revolution in big data cloud services. However, flying a drone and taking pictures is the first step in data collection process. Since software to reason directly from video feeds is still in a research phase, drone data handling needs to be improved. The use of a cloud-based in-memory computing platform can enhance analytics, processes, and predictive capabilities. Amazon recently proposed to increase sales and revenue by providing the delivery of food using drones. By gathering data on a large scale, service providers will be able to process unique levels of details and turn it into usable information. To know more, go through Abhishek Sharma (author of InfoQ)'s article: http://www.infoq.com/news/2014/09/drone-data-big-data-analytics

There is no privacy in the era of big data. Personal data is collected and traded and there are few ways to control it. "We're being monetized in essence. We are being mobilized as products with inducement of the services of we use such as Facebook and Twitter" says Rob Livingstone, a fellow of the University of Technology and the Head of a Business Advisory Firm. However, major problem that regulators are facing is - how they can regulate the collection, storage and trading of personal data on the internet, when all of these activities, and corporations, operate across multiple continents and jurisdictions. Read more at: http://analytics.theiegroup.com/article/53a4371c3723a8398400014e/Little-Privacy-In-The-Age-Of-Big-Data

Information available about consumers on the web is enough to scare marketers. There are large rewards for those who confront and harness big data. Big data can create problem for brands. Information collected from large, complex data sets weblogs, social media, smartphone analytics and even medical records is difficult for brands to manage and process within traditional database systems. According to a report from the McKinsey Global Institute, Big Data is the next big thing for innovation, competitive advantage and productivity. But, some companies are missing this opportunity because of a lack of data management expertise. Retail is one industry that has a great potential for big data. Customer transactions (on & offline), conversations and intentions can all be brought together so that brands can get ideas how to reach potential consumers. Read more at: http://analytics.theiegroup.com/article/53a2f6693723a807f3000029/Big-Data-Embracing-The-Elephant-In-The-Room

According to Tor Constantino (Director, Global Public Relations and External Affairs at IMS Health) Nexxus Mobile Sales is the first complete cloud-based sales performance which aids companies to implement national brand strategies at local levels by linking updated industry and customer data with expert decision-support tools for sales representatives. IMS Health provides life sciences commercial organizations with a new app for driving actual, smart local customer engagement. For increased productivity in the field, Mobile Sales issues alerts to the sales representatives about specific territory and customer opportunities and incorporates advanced voice-command technology to provide easy access to all solution features. As a result, sales teams can deliver greater value and spend more time with customers. Read more at: http://www.imshealth.com/portal/site/imshealth/menuitem.c76283e8bf81e98f53c753c71ad8c22a/?vgnextoid=70f32cf8cb7a7410VgnVCM10000076192ca2RCRD&vgnextchannel=5ec1e590cb4dc310VgnVCM100000a48d2ca2RCRD&vgnextfmt=default

A B2B based Cloud network called AutoDX (Auto Data Exchange) was recently implemented by IBM for Indian Auto industry. This electronic data exchange platform reduces the auto industry's transaction costs by 80%. This is useful because until this deployment the whole auto industry was using manual processes which were very inefficient. AutoDX is an example of how organizations in the same domain can come together and share cloud to reap benefits. Such cloud platforms can be useful as cloud has potential to reduce costs. To know more, go through Vipin Chandran (Member of Integration Services team of IBM DemandTec)'s article link: http://www.indiaonward.com/how-beneficial-could-a-multi-tenant-private-cloud-be/

According to Ajay Kulkarni (the development leader of Social Business and Digital Experience portfolio at IBM India Software Labs) there are numerous challenges in reforming the Retail sector even though it is currently going through an incredible change technology-wise. The first one is FDI in Multi-Brand Retail. The main argument against Retail FDI is loss of jobs. The second is the co-existence of global supermarkets and small Kirana shops. Traders in Kirana stores, vegetable shops and even consumers use easy Social Media tools like Skype and WhatsApp. However, they need to be more equipped to face competition. The e-retail business in India is still nascent but is growing at a fast pace with the help social media platforms. Read more at: http://www.indiaonward.com/social-business-will-transform-the-indian-retail-industry/

Enterprise cloud computing provides a clear path to CRM success. Today, however there are at least two major problems in operating with highly data-driven intelligence. Firstly, CRM databases start empty and secondly it isn't very intelligent. It is therefore time to re-imagine how businesses operate. In a world where we have lot of data points, outcomes should be accurately predicted. The next generation of CRM should monitor website updates, news, public filings, social networks, technology vendors, job openings and new hires. To know more, go through Jamie Grenney (Vice President of Marketing at Infer)'s article link: http://gigaom.com/2013/09/02/what-will-crm-look-like-in-2015/

A computer technology company wanted an automatic solution to classify customer problems and complaints that were posted on the company's Tech Forums as well as agent transcripts associated with customer calls that were stored in databases. It wanted a "text mining and codification engine" to which Natural Language Processing could be applied to categorize conversations automatically and thus aid Microsoft in analyzing text data objectively and quantitatively. The solution provided had four major milestones: Data Access, Data Loading, Classification Design, Development Accuracy, and Validation Accuracy. The text mining framework provided was able to categorize the texts automatically into five stages of classification. Thus with the assurance of accurate results, the company was able to take quick informed decisions based on customer feedback. Read more at: http://analyticsindiamag.com/advanced-text-mining-by-extracting-insights-from-various-forums-helps-in-addressing-and-analyzing-customer-feedback/

According to author Shreya Sharma, with Big Data becoming an essential part of an organization, it is getting harder to balance it with data privacy. Marketers should be clear about the data they are collecting and make sure that data storage and security infrastructure are safeguarded, otherwise it can have serious effects on the company as most consumers expect a company to protect their personal data, and their consuming behavior depends on this. It is therefore crucial to bear a high level of awareness with regards to the significance of data privacy and protection. The responsibility should be seen as norm and not just be restricted to people who are directly involved in mining big data. To know more, please follow: http://analyticsindiamag.com/in-action-how-companies-should-follow-a-data-centric-security-approach/

Big data enables understanding of complex customer sentiments and intent which improves service management. Today it is easier to process customer sentiments and intents through social media and develop social customer relationship management or social CRM. To make this effective it is important to capture the natural language knowledge and rapidly and securely making those insights available to tye best pay off channels. 

This podcasts bring together customer analytics services provider Attensity, with its natural language processing technology, and HP Vertica with Big data analytics capabilities to explain how effectively listen to social Web and rapidly gaining valuable insights and actionable intelligence.

Some participants are Howard Lau, chairman and CEO of Attensity, and Chris Selland, vice president of marketing and business development at HP Vertica. The discussion is moderated by Dana Gardener, principal analyst at Interarbor Solutions.

more at: http://www.crmbuyer.com/story/80826.html