Speech analytics or audio mining is used to analyze spoken words that reveal information when an interaction takes place between the contact centers and organizations and it optimizes workers performance and enhances customer experience. Speech analytics technology is used mostly in call centers to extract valuable business intelligence. North America is the strongest initial market for speech analytics and this market is expected to grow from $241.8 million in 2014 to $696.2 million by 2019, at a CAGR of 23.6% from 2014 to 2019. Read more at: http://www.sys-con.com/node/3287613

Partner relationship management or PRM platform is related to CRM. PRM refers to cloud platform for managing your channel partner relationship and strategies. A PRM platform needs integration with sales and marketing systems and can be integrated with enterprise resource planning, CRM and project management. Read more at: http://it.toolbox.com/blogs/insidecrm/future-trends-in-prm-65329

According to the Online Domain Maturity Report, it was highlighted that the online domain is one of the most important technological assets. Nowadays, all businesses are shifting to cloud technology as it improves business by providing accurate data and is easily accessible. Further by using cloud services, growing complexities of marketing can be more easily managed and supervised under one umbrella, i.e. in a centralized management service. Lisa Joy Rosner (CMO at Neustar), in her article writes about the benefits of cloud-based management services that marketing professionals should consider. Read more at: http://digitalmarketingmagazine.co.uk/articles/nine-benefits-of-using-cloud-based-services-in-digital-marketing/1375

Nowadays companies need to know to about their customers very well because customers collect information from many channels and there is vast amount of data to analyze and little resources to map the insights against business goals. Social media analytics gives us that opportunity. By listening to the voice of the customer and analyzing, filtering and organizing the data, we can create customer segmentation that would benefit any brand. It allows us to go beyond CRM and audience targeting techniques and find out what is important to consumers. To know more, follow Ekaterina Walter (Bestselling Author; International Speaker; Global Evangelist, Sprinklr)’s article link: : http://www.socialmediatoday.com/content/social-media-analytics-key-knowing-your-customers

Big Data is everywhere. Big Data also includes data from sources like radio-frequency identification tags, machine sensor data, and other continuous streams. Flow of data is affecting all areas of distribution, including sales and marketing through the customer relationship management (CRM) system. Companies are facing problems while storing large amount of information for their operations and make that information accessible in real time for users. The impact of big data is in improving business operations. So to overcome this problem, predictive models are being embedded in CRM systems. For example, telemarketers use predictive dialing systems to maximize their potential. CRM vendors are also integrating predictive models into their CRM systems. Read more at: http://it.toolbox.com/blogs/insidecrm/how-will-big-data-affect-distribution-crm-64820

Nowadays an organization can track conversations across social media, analyze sentiment and opinions, and segment customers. An organization thinks that with the help of these tools they can get a complete picture of their customers. But this is not the case. Tracking and analyzing sentiment is an added advantage to an organization. But, in order to reach the next level marketers need to know who is talking about them and why. This is possible with the help of next generation social media analysis. Social media strategist should consider psycho graphics and interests of consumers in addition to the demographic grouping, conversation tracking and sentiment & opinion analysis. Read more at: http://digitalmarketingmagazine.co.uk/social-media-marketing/social-media-it-s-not-just-about-the-what-it-s-about-the-who/1162

According to a report by Gartner, analysts estimate that poor data quality is costing organizations on average £9 million annually. Another report by CIO tells us that organizations should be not only protect data but also ensure its quality. Organizations should be aware of bad data. So, to know about how to trust data quality, follow the article written by Peter Walker (Country Manager UKI, Information Builders) at: : http://digitalmarketingmagazine.co.uk/digital-marketing-data/is-your-data-quality-suspect/1132

A lot of automation is taking place in healthcare industry nowadays. Patient-focused customer relationship management (CRM) is gaining importance. Patients are using the Internet for their interactions with other companies. They perceive that health care providers who provide patient CRM are effective. These providers often have higher patient satisfaction scores. David Gillman (Analyst with Studio B), writes in his article the benefits who deploy patient CRM systems. Read more at: http://it.toolbox.com/blogs/insidecrm/health-care-crm-how-much-can-patients-do-on-their-own-63314

In-memory computing (IMC) does not have any relationship with customer relationship management (CRM). But, when it is combined with columnar database structure, IMC has the potential to change the transactional side of business systems and processes. Majority of business software technology uses on-disk relational databases. But, it is changing. According to Mark White, Global Consulting CTO at Deloitte Consulting Technology, IMC will eventually become the new standard. Mae Kowalke (journalist and communications professional) writes in her article about how IMC can impact one’s business. Read more at: http://it.toolbox.com/blogs/insidecrm/3-ways-inmemory-computing-can-improve-your-crm-system-63229

Big Data means different to different industry e.g. to computer manufacturers, big data analytics could mean demand for expensive servers and storage arrays; to the communications or cloud industry, the movement of data. But, for general people it means Big Data Analytics. The impact of change could be far-reaching and unpredictable. The budget spent on advertising via electronic, print and display media could costs double for data collection and analysis with impact which is immense. In the age of analytical marketing, we see firms collect more and more data in order to fine tune their analysis and increase competitive edge. To know more, follow Barry Schaeffer (principal consultant with Content Life Cycle Consulting)’s article link: http://www.cmswire.com/cms/big-data/look-before-you-leap-into-the-big-data-revolution-026873.php

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

Nowadays, analytics is a key factor in sports industry. Analyst is part of any team whether it is a baseball team or an international soccer team. Yet, some sports team does not appreciate the value of analytics in the sports industry. Lloyd Melnick (CEO of fiveonenine games), in his article writes about some lessons on how sports teams use analytics that are relevant to all businesses which Davenport (Author of the book: Competing on Analytics) concluded. To know more about these lessons, follow: http://lloydmelnick.com/2014/09/04/lessons-from-sports-analytics/

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