Nitor Infotech - Social Media Analytics Approach
•Download as PPTX, PDF•
1 like•982 views
Nitor Infotech is an IT services company founded in 2006 with over 400 technology specialists. It has a corporate headquarters and global delivery center in Pune, India. Nitor focuses on industries like pharmaceuticals, healthcare, manufacturing, and construction. It has expertise in technologies like Java, .NET, SharePoint, SQL Server, and cloud. Nitor prides itself on speed, attention to detail, flexibility, pragmatic innovation, and end-to-end offerings. It has sales offices in Chicago and partners with multiple systems integrators and independent software vendors.
Recommended
More Related Content
Viewers also liked
Viewers also liked (14)
Similar to Nitor Infotech - Social Media Analytics Approach
Similar to Nitor Infotech - Social Media Analytics Approach (20)
More from Nitor Infotech
Recently uploaded
Recently uploaded (20)
Nitor Infotech - Social Media Analytics Approach
- 2. Pulse of Nitor 2006 Started in the Year identified functional areas 400+ Technology Specialists Strong focused on Pharmaceuticals Industry Focus Healthcare Manufacturing Construction & Reality IT and ITes North America Sales Engineering Office in Chicago, IL long term Technology partner Strategic with multiple SIs and ISVs customersin North America & Europe Pune, India, IT city Corporate HQ / Global delivery center in Diverse Technology Expertise Java SharePoint .NET SQL Sever Cloud Enterprise Mobility Dynamics CRM
- 3. Our DNA – Beat Industry Benchmarks Proven Speed to Value Attention to Detail Choices and Flexibility Pragmatic Innovation for Value End-to-End Offerings Technology Agnostic Global Delivery Model Strategic Partnership Instant Leadership Connect Integrated Competencies Accolades and Partnerships 3 times in 5 Years 3 times in 5 Years
- 4. Social Media Analytics Approach
- 5. Social Media Analytics – Key Questions to be Answered • What people are Saying about the product / Service / Brand ? • What is the impact of specific campaign and How it was perceived ? • What competitors are doing in the same space ? How their products / services are being perceived • Share of Voice in Social media • What are the related research data which are being widely mentioned with respect to product / service / brand ? • New customers Vs. Repeat Customers ? • Key influencers and conversations happening over web & social media ? • What is the Amplification rate, Applause Rate and Conversation rate ? Likes Vs. Followers ? • Website Review ? Which Keywords are bringing to the website ? Who are visiting ? • Average time spent on website ? And many more…….
- 6. Typical Solution Architecture NLP Module (Wordnet, nGram etc.
- 7. Social Media analytics – Brand Value • Awareness of the Brand (How many people talk about it with regards to the core service it offers) • Share of Voice with respect to its competitors • % age difference between competitor brands in social media • Trust – How many people are talking positive about the brand / and likelihood of them doing repeat purchase and influence new customers • Reputation / Perception – Positive / Negative / Neutral • What are the things people are talking about when they say positive / negative / neutral about the brand • Can we make people build positive perception who are currently neutral
- 8. Social media Analytics - Brand Promotion • New Vs. Returning – Are the same people visiting / talking about the brand or new people ? • What is the proportion ? • What is the impact of this measure post specific promotion activity and monitoring it real time • Loyalty & Recency – Repeat tweets by number and frequency and their characteristics (What they are happy about or What are their concerns) • Traffic from discussion forums / blogs / communities • Geographic analysis • Brand Lift • Launch / Introduction • Search Share • Traffic differential • Brand Embossing Website review, SEO with keywords analysis
- 9. Tools & Technologies • Apache Flume • Custom APIs for Forum / Blog streams • Twitter API • Hadoop HDFS • Hive QL • NLP Algorithms • Map Reducer (MR) • J2EE This list can go on…As it is open source
- 10. Scalability • Source systems integration (Youtube, Facebook and more forums / blogs) • Research data related to the business can enhance overall value • Training and maturing the NLP with more data (Over time) • Any visualization tool can be used for analytics • Architecture is scalable for handling 3Vs (Volume, Variety and Velocity) • SEO and Website analytics can be integrated for holistic decision making providing clear picture
- 11. 401-408, A-Wing, Pride Silicon Plaza, Near Chaturshringi,S.B. Road, Shivajinagar, Pune-411016, Maharashtra, INDIA Email: info@nitorinfotech.com Tel : +91-20-41020202
- 12. Disclaimer This presentation is Nitor Infotech’s* Intellectual Property Any business examples presented in this presentation have been compiled from the experiences of our team members and are for illustrative purposes only. The methodology, terminology and models presented herein are proprietary with copyrights © Nitor Infotech 2015. Any non Nitor Infotech products, names, case studies, and logos mentioned in the presentation are owned by the respective companies. This presentation is for discussion purpose only and not a deemed contract.