Analytics Before Action Crafts Competitive Edge Case Study
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Analytics Before Action Crafts Competitive Edge
(A study on Predictive Analytics for buy side firms)
April 2015
Contents
Abstract 3
1. Analytics before action – an introduction 3
2. How Predictive Analytics help buy side firms 4
3. How do predictive analytics differ from algorithms? 5
4. Factors and profiles 5
5. IGATE Solution 6
6. In Summary 7
7. References 7
8. About the Author 7
Abstract
With the ever changing Millennials needs and the advent of Robo-Advisors, does this mean exit to Financial Advisors? Or, does the industry need to rapidly adapt to this changing landscape to survive and thrive in this new media age?
Fund managers are targeting customized investment products by analyzing behavioral, purchasing …show more content…
There is huge demand in the market to capitalize application of lucrative predictive insights in the stock arena. However, many investors, advisors and traders are skeptical whether to include such solution as part of their unified approach along with traditional analysis or have this solution as a standalone solution which supplements their investment decisions. 2. How Predictive Analytics help buy side firms
There is a link between the market sentiment and its effects on the stock market. The twitter sentiment has an ability to lead financial data ahead of market reaction. Also, using trend analysis traders are incorporating analysis in their day-to-day trading strategies.
Using Tweets and other financial posts:
The sentimental analysis tool examines the unstructured data from tweets and niche media and then intelligently weighs and scores the findings on a numerical scale.
- Positive
- Negative
- Neutral This ultimately offers traders an effective method to mine insights from analysts, social media and company announcements - granting them a well-defined understanding of the effect of sentiments on stocks, and delivering a competitive investing …show more content…
- How are buyers responding to this product release?
Blogger provides some valuable information / speak about the product which is neither positive nor negative being neutral about the product
These insights help buy side firms to relate positive reviews versus positive words and negative reviews versus negative words.
Example: Most of the consumers are overwhelmed with the size of iPhone 6 followed by storage, device hardware, camera, design etc. This POC is customizable to customers’ needs and has the ability to include multiple stocks for opinion mining. The solution will display IGATE’s innovation mindset and ability to deliver to the business needs.
We are looking at diverse ways to enhance this POC to include data from News, blogs, forums along with social media to provide near to real-time sentimental analysis using context aware computing and also factoring trend analysis to create robust solutions for retirement planning. This is a future state of work in this arena. A sample use case can be –
"How is the Russian crisis certainly impeding the US economic recovery just as it is gaining strength, will this impact the stock market in the future”?
6. In
Analytics Before Action Crafts Competitive Edge
(A study on Predictive Analytics for buy side firms)
April 2015
Contents
Abstract 3
1. Analytics before action – an introduction 3
2. How Predictive Analytics help buy side firms 4
3. How do predictive analytics differ from algorithms? 5
4. Factors and profiles 5
5. IGATE Solution 6
6. In Summary 7
7. References 7
8. About the Author 7
Abstract
With the ever changing Millennials needs and the advent of Robo-Advisors, does this mean exit to Financial Advisors? Or, does the industry need to rapidly adapt to this changing landscape to survive and thrive in this new media age?
Fund managers are targeting customized investment products by analyzing behavioral, purchasing …show more content…
There is huge demand in the market to capitalize application of lucrative predictive insights in the stock arena. However, many investors, advisors and traders are skeptical whether to include such solution as part of their unified approach along with traditional analysis or have this solution as a standalone solution which supplements their investment decisions. 2. How Predictive Analytics help buy side firms
There is a link between the market sentiment and its effects on the stock market. The twitter sentiment has an ability to lead financial data ahead of market reaction. Also, using trend analysis traders are incorporating analysis in their day-to-day trading strategies.
Using Tweets and other financial posts:
The sentimental analysis tool examines the unstructured data from tweets and niche media and then intelligently weighs and scores the findings on a numerical scale.
- Positive
- Negative
- Neutral This ultimately offers traders an effective method to mine insights from analysts, social media and company announcements - granting them a well-defined understanding of the effect of sentiments on stocks, and delivering a competitive investing …show more content…
- How are buyers responding to this product release?
Blogger provides some valuable information / speak about the product which is neither positive nor negative being neutral about the product
These insights help buy side firms to relate positive reviews versus positive words and negative reviews versus negative words.
Example: Most of the consumers are overwhelmed with the size of iPhone 6 followed by storage, device hardware, camera, design etc. This POC is customizable to customers’ needs and has the ability to include multiple stocks for opinion mining. The solution will display IGATE’s innovation mindset and ability to deliver to the business needs.
We are looking at diverse ways to enhance this POC to include data from News, blogs, forums along with social media to provide near to real-time sentimental analysis using context aware computing and also factoring trend analysis to create robust solutions for retirement planning. This is a future state of work in this arena. A sample use case can be –
"How is the Russian crisis certainly impeding the US economic recovery just as it is gaining strength, will this impact the stock market in the future”?
6. In