Big Data - Analytics iC-360
- 2. A Quick Overview e-cognosys is an integrated technology solutions firm with a focus on cloud-based Business Intelligence (BI), Data Warehousing and Big Data analytical solutions to various industries e-cognosys leverages its strong expertise in areas such as Business Intelligence, Data Warehousing, Statistical and Predictive Analytics, CLOUD based solutions, Big Data Analysis Established by techno-professionals having more than eight decades of combined experience in IT industry Registered in India as a Private Limited Company incorporated under the companies act 1956 Global presence with offices in Mumbai India and MN USA 2
- 3. Team Manohar Sunkum – Co-founder & CEO Founder of e-cognosys LLC M.S in Computer Science from University of Minnesota, & Graduate from B.I.T.S Pilani Two decades of exp in Enterprise Data Management, BI; strategizing, architecting and designing solutions for large projects in various verticals Worked for Nippon Unisys , Andersen Consulting, Net Perception, Univita, UHG Shantanu Sharma – Co-founder & Director Sales Master's degree from IIT Roorkee & Business Administration from IIMB Expertise in business planning, business acquisition, strategic partnerships including JVs, new markets strategy and customer-centric delivery solutions Worked for Datamatics, Blue Star Infotech, Akshay Software, Prescient Infotech Devasish Misra – Co-founder & Director Operations Management Graduate from B.I.T.S Pilani Two decades of expertise in operations, setting up offshore development centers, fundraising and mergers & acquisitions Worked for Datamatics, Microland, Datapro, Insyst Dr. Sunil Prabhakar – Co-founder & Chief of R&D Dr. Sunil is a Professor and interim head of Computer Science at Purdue Ph.D. in Computer Science from University of California and a B.Tech in EEE from IIT Delhi His research focuses on performance and privacy issues in large- scale, modern database applications and integrity and privacy for outsourced databases including cloud databases 3
- 4. What is “Big Data” ? Big data is simply any data set that has grown too big to be efficiently worked on in real-time with traditional database tools. Much of this data is created by individuals using social networks to connect with other people and organizations in new and exciting ways. Every day, for instance, we send approximately 300 billion e-mails and share one billion items on Facebook; every minute we post 170,000 tweets to Twitter, 3,000 photos to Flickr and 48 hours of video to YouTube. According to IDC, approximately 70% of all data is created by individuals – their photos, blog posts, music playlists, purchases, facebook posts, tweets, skype calls, online bank transactions, and so on. Organizations are keen to tap into this data. 4
- 5. “Big Data” – for Media & Channels Aggregation of Big Transaction, Big Interaction and Big Data Processing Big Interaction Data (Public Space) Social Media News Channels Big Transaction E-commerce Data (In-house) Big Data Processing 5
- 6. “Big Data” More Than Explosive Growth Of Big Transaction & Interaction Data 6
- 7. “Big Interaction Data ” New Era Of Social Media 7
- 8. Our Product “iC-360™” iC-360™ product enables organizations to research, analyze and discover customer behavioral patterns by leveraging social media networks like, facebook, twitter, chats, comments, reviews and other micro blogs. It will also give a consolidated view of particular brand, product or service from a social media customer perspective Single Customer View (SCV) and the vision that marketers can truly understand their customers across all channels 8
- 9. What problem we “ADDRESS” ? Lack of customer knowledge and engagement from social media Business Analytics don't have timely access to the information gleaned from big data But the real challenge - Collecting, real-time processing and analyzing data on customer behavior patterns and preferences – is imperative for businesses Help Media & Channels harness its potential and uncover new business opportunities through Big Data analytics 9
- 10. What is the “OPPORTUNITY” ? Some of the opportunities in utilizing the Big Data analytics are: News Analytics - for Internet News and Social Media is a powerful tool that allows users to analyze millions of public and premium sources of internet content, tag and filter that content to focus on the most relevant sources, and turn the mass of data into actionable analytics as per your requirements. Internet News and Social Media can leverage this core technology to analyze content sourced, which can aggregate content from more than four million social media channels and 50,000 Internet news sites. This content is then analyzed in real-time by the iC-360 engine, generating an output of quantifiable data points across a number of dimensions such as sentiment, relevance, and novelty. These and many other metrics can help analysts understand with greater context, what is being said and how it is being said across a number of media channels for a more complete picture. 10
- 11. What are the “FACTS” ? Analyzes internet news, social media & other professional news wires Natural language processing capabilities Extensive metadata tagging across various fields Near Real-Time updates aggregated from various news sites & social media channels Each news story, chat room comment and blog post can be normalized, tagged and scored based on multiple dimensions, including sentiment, relevance, novelty volume, category and source ranks Feeds published through well defined user friendly dashboards (Visually Analyze “Big Data”) 11
- 12. What are the “BENEFITS” ? Through better customer analytics from social media, management will be able to align their deployment of resource to achieve the highest value and avoid the costs and inefficiencies of marketing them at the wrong time. Some of the other benefits of iC-360™ include: Provide executive management with 360° view of market insight Act intelligently and quickly to changing market conditions Improve customer satisfaction with experiences and engagement Gain complete view of customer activity across channels Identify potential competitive advantages Discover what influences viewers / visitors behavior Develop more effective loyalty programs Manage brands effectively in social media Continued… 12
- 13. What are the “BENEFITS” ? Identify characteristics for better segmentation Measure the market pulse, share of voice and brand reputation compared with competition Determine the effectiveness of marketing touches and viewers behavior Using predictive analytics on social media to discover patterns and anticipate customers’ problems with products or services Better understanding of competitors Faster processing means faster results and reports for analysis Better quality data for analysis And many more benefits….. 13
- 14. “Market” Segment Needs Media (Channels) – News, Business, Sports, Music, Portals, etc Entertainment (Reviews) – Movies, Stars, Songs, Albums, Artist, etc Retail – FMCG, White Goods, etc Insurance – Life and Non-Life, underwriting, actuarial, etc. Banking & Securities – Stock Broking, Exchanges, Retail Banking, etc Manufacturing – Automobile, Telecom, etc Research Institutes - Analyst, scientist, etc Government – Politics, Urban Planning, Agricultural, Metallurgical, Meteorological, Astronomy, Research, Healthcare, etc Education - Technical Institutes, Training Institutes, etc Healthcare Providers – Diagnostic Centres, Hospitals, Research, etc. Transportation, Hospitality, Utilities and wholesale Trade. 14
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- 16. Thanks E-cognosys 3445 Washington Drive, Suite 200, Eagan, MN – 55122 Email: us@ecognosys.com, dmishra@ecognosys.com 16