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The Alternative Data Market size was USD 7.18 Billion in 2023 and is expected to Reach USD 289.56 Billion by 2032 and grow at a CAGR of 50.8% over the forecast period of 2024-2032.
Alternative data is data that is not obtained from traditional sources, such as financial statements, news articles, or SEC filings. It can be derived from a variety of sources, such as social media, sensor data, satellite imagery, and internet traffic. Alternative data is used by businesses and investors to gain insights into the market that would not be possible to obtain from traditional data sources. It can be used for a variety of purposes, the segment that dominated the alternative data market in 2022 was the credit and debit card transactions segment. This segment accounted for more than 15% of the global market share. This is due to the high demand for this Data Type of data from investors, coupled with the presence of numerous providers of credit card transaction data. The alternative data market is expected to continue to grow in the coming years. This is due to the increasing availability of alternative data, the rising demand for real-time insights, and the advances in machine learning and artificial intelligence.
KEY DRIVERS
Increasing demand from hedge funds
Increasing adoption of alternative data by corporations
The growing demand from hedge funds is expected to significantly speed up market expansion. Today, it is used by more than half of hedge fund managers to improve risk management processes and achieve outperformance in order to gain a competitive advantage. Through the efforts of more than 400 enterprises, the market revenue from supplying alternative data to hedge funds is significantly increased. When we discuss alternative data, we refer to previously unknown data that is absent from traditional sources. Social media, e-commerce sites, public data, web traffic, mobile devices, sensors, satellites, and other sources are all used to assemble it.
RESTRAIN
Data privacy and security
The lack of awareness about alternative data's benefits and skilled professionals is hampering the market's growth
Alternative data sets may contain sensitive information, which raises concerns about data privacy and security
OPPORTUNITY
Risk management
Alternative data can be used to forecast future market trends. For example, weather data can be used to predict agricultural yields, and social media data can be used to track consumer sentiment.
Alternative data can be used to identify and manage risks. For example, credit card transaction data can be used to assess the creditworthiness of borrowers and social media data can be used to track customer sentiment.
CHALLENGES
Lack of data accuracy
Negotiating individual contracts with each data vendor is time-consuming and subject to legal resource bottlenecks
It entails understanding the information's sources, the limitations on its use, and the ethical and proper preservation practices. There is a tremendous amount of data generated, and the legitimacy of alternative data may contain incorrect information, which would hamper the market for alternative data.
The Russia-Ukraine war has had a significant impact on the alternative data market, with some companies reporting a decline in sales and revenue growth. For example, Palantir Technologies, a data analytics company that provides alternative data to businesses and governments, reported a 10% decline in revenue growth in the first quarter of 2023. In addition to the decline in sales and revenue growth, some alternative data companies have also been affected by the war in Ukraine in other ways. For example, RavenPack, a company that provides alternative data on social media and the internet, said that it has had to suspend its operations in Russia and Ukraine. The company said that it made the decision because it is committed to ethical data collection and does not want to contribute to the war effort in any way. Palantir Technologies announced that it would be donating $1 million to humanitarian relief efforts in Ukraine. The alternative data market is a rapidly growing market with a lot of potential. However, the Russia-Ukraine war has highlighted the risks associated with the market. Businesses and investors that are considering using alternative data should carefully assess the risks and benefits before making a decision.
IMPACT OF ONGOING RECESSION
In a recession, businesses are more likely to cut costs, and alternative data is often seen as a discretionary expense. As a result, we can expect to see a decline in demand for alternative data during the recession. In March 2023, the price of Bitcoin, a popular alternative data asset, crashed. This was a major setback for the alternative data industry, as Bitcoin is often used as a proxy for the alternative data market as a whole. In January 2023, Google announced that it would be shutting down its alternative data research lab. This was a major blow to the alternative data industry, as Google was one of the leading players in the space. some changes that may occur after the recession in this market A focus on more affordable data, A greater focus on data quality, A greater focus on data integration, Overall, the alternative data market is likely to face some challenges in the near term. However, the long-term prospects for the market are positive. As businesses become more sophisticated in their use of data, we can expect to see a growing demand for alternative data.
By Data Type
Card Transactions
Mobile Application Usage
Social & Sentiment Data
By Industry
Automotive
BFSI
Energy
Industrial
IT & Telecommunications
Media
Entertainment
Real Estate & Construction
By End User
Hedge Fund Operators
Investment Institutions
Retail Companies
Other End-users
North America
USA
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSIS
In 2022, North America accounted for over 45.80% of global sales, and it is predicted that it would continue to dominate the market going forward. Just a few of the various industry companies that are thought to have contributed to the region's sizeable market share are Advan, M Science, Eagle Alpha, and UBS Evidence Lab. A significant market share was also aided by a number of national industry verticals' early adoption of alternative data. The use of alternative data in the investment process is already favoured by more than 70% of American asset managers. Additionally, the United States had the largest market share in the North American alternative data market, while Canada had the fastest rate of growth.
The market for alternative data is predicted to expand at the fastest CAGR in Asia-Pacific from 2022 to 2030. Since investors are embracing data-driven research more and more, the Asia Pacific region is expected to have one of the fastest expanding regional marketplaces. In fact, it is projected that the regional market will offer considerable expansion prospects for businesses from growing countries like China, India, Singapore, and Thailand. In the Asia-Pacific region, the alternative data sector in India grew at the quickest rate, while China's alternative data market held the largest market share. The Asia Pacific region is predicted to experience one of the fastest growth rates among regional marketplaces since investors are increasingly embracing data-driven research.
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The major players in the Alternative Data Market are 1010Data, Advan, Dataminr, Earnest Research, M Science, Preqin, RavenPack, Thinknum Alternative Data, UBS Evidence Lab, YipitData, and other players.
Earnest Analytics:
In July 2023, Earnest Analytics introduced Vela Velorum, an enhanced transaction alternative data panel. The Vela Velorum transaction dataset is presently available via Snowflake, S3, and BigQuery and is expected to become available in Earnest's proprietary web-based analytics platform, Dash in the future.
Thinknum:
In September 2022, Thinknum announced its plan to combine data Similarweb, Sensor Tower, Thinknum, Caplight, and Pathmatics with Lagoon, a sophisticated infrastructure platform to deliver an alternative data source for investment research, due diligence, deal sourcing and origination, and post-acquisition strategies in private markets.
| Report Attributes | Details |
| Market Size in 2023 | US$ 7.18 Billion |
| Market Size by 2032 | US$ 289.56 Billion |
| CAGR | CAGR of 50.8% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Data Type (Card Transactions, Mobile Application Usage, Social & Sentiment Data) • By Industry (Automotive, BFSI, Energy, Industrial, IT & Telecommunications, Media, Entertainment, Real Estate & Construction) • By End User (Hedge Fund Operators, Investment Institutions, Retail Companies, Other End-users) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | 1010Data, Advan, Dataminr, Earnest Research, M Science, Preqin, RavenPack, Thinknum Alternative Data, UBS Evidence Lab, YipitData |
| Key Drivers | • Increasing demand from hedge funds • Increasing adoption of alternative data by corporations |
| Market Opportunity | • Risk management • Alternative data can be used to forecast future market trends. For example, weather data can be used to predict agricultural yields, and social media data can be used to track consumer sentiment. |
Ans. The Compound Annual Growth rate for Alternative Data Market over the forecast period is 50.8%.
Ans. USD 289.56 Billion is the Company's projected Alternative Data Market size by 2032.
Ans. Some key players operating in the alternative data market include 1010Data, Advan, Dataminr, Earnest Research, M Science, Preqin, RavenPack, Thinknum Alternative Data, UBS Evidence Lab, and YipitData.
Ans. North America dominated the alternative data market with a share of over 58% in 2022. This is attributable to the presence of numerous players such as Advan, Dataminr, Eagle Alpha, M Science, and UBS Evidence Lab in the region.
Ans. Key factors that are driving the alternative data market growth include a significant increase in the Data Types of alternative data sources over the last decade and rising demand for alternative data among hedge fund managers to gain alpha.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Alternative Data Market, By Data Type
8.1 Card Transactions
8.2 Mobile Application Usage
8.3 Social & Sentiment Data
9. Alternative Data Market, By Industry
9.1 Automotive
9.2 BFSI
9.3 Energy
9.4 Industrial
9.5 IT & Telecommunications
9.6 Media
9.7 Entertainment
9.8 Real Estate & Construction
10. Alternative Data Market, By End-User
10.1 Hedge Fund Operators
10.2 Investment Institutions
10.3 Retail Companies
10.4 Other End-users
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America Alternative Data Market by country
11.2.2 North America Alternative Data Market by Data Type
11.2.3 North America Alternative Data Market by Industry
11.2.4 North America Alternative Data Market by End-User
11.2.5 USA
11.2.5.1 USA Alternative Data Market by Data Type
11.2.5.2 USA Alternative Data Market by Industry
11.2.5.3 USA Alternative Data Market by End-User
11.2.6 Canada
11.2.6.1 Canada Alternative Data Market by Data Type
11.2.6.2 Canada Alternative Data Market by Industry
11.2.6.3 Canada Alternative Data Market by End-User
11.2.7 Mexico
11.2.7.1 Mexico Alternative Data Market by Data Type
11.2.7.2 Mexico Alternative Data Market by Industry
11.2.7.3 Mexico Alternative Data Market by End-User
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Eastern Europe Alternative Data Market by country
11.3.1.2 Eastern Europe Alternative Data Market by Data Type
11.3.1.3 Eastern Europe Alternative Data Market by Industry
11.3.1.4 Eastern Europe Alternative Data Market by End-User
11.3.1.5 Poland
11.3.1.5.1 Poland Alternative Data Market by Data Type
11.3.1.5.2 Poland Alternative Data Market by Industry
11.3.1.5.3 Poland Alternative Data Market by End-User
11.3.1.6 Romania
11.3.1.6.1 Romania Alternative Data Market by Data Type
11.3.1.6.2 Romania Alternative Data Market by Industry
11.3.1.6.4 Romania Alternative Data Market by End-User
11.3.1.7 Turkey
11.3.1.7.1 Turkey Alternative Data Market by Data Type
11.3.1.7.2 Turkey Alternative Data Market by Industry
11.3.1.7.3 Turkey Alternative Data Market by End-User
11.3.1.8 Rest of Eastern Europe
11.3.1.8.1 Rest of Eastern Europe Alternative Data Market by Data Type
11.3.1.8.2 Rest of Eastern Europe Alternative Data Market by Industry
11.3.1.8.3 Rest of Eastern Europe Alternative Data Market by End-User
11.3.2 Western Europe
11.3.2.1 Western Europe Alternative Data Market by Data Type
11.3.2.2 Western Europe Alternative Data Market by Industry
11.3.2.3 Western Europe Alternative Data Market by End-User
11.3.2.4 Germany
11.3.2.4.1 Germany Alternative Data Market by Data Type
11.3.2.4.2 Germany Alternative Data Market by Industry
11.3.2.4.3 Germany Alternative Data Market by End-User
11.3.2.5 France
11.3.2.5.1 France Alternative Data Market by Data Type
11.3.2.5.2 France Alternative Data Market by Industry
11.3.2.5.3 France Alternative Data Market by End-User
11.3.2.6 UK
11.3.2.6.1 UK Alternative Data Market by Data Type
11.3.2.6.2 UK Alternative Data Market by Industry
11.3.2.6.3 UK Alternative Data Market by End-User
11.3.2.7 Italy
11.3.2.7.1 Italy Alternative Data Market by Data Type
11.3.2.7.2 Italy Alternative Data Market by Industry
11.3.2.7.3 Italy Alternative Data Market by End-User
11.3.2.8 Spain
11.3.2.8.1 Spain Alternative Data Market by Data Type
11.3.2.8.2 Spain Alternative Data Market by Industry
11.3.2.8.3 Spain Alternative Data Market by End-User
11.3.2.9 Netherlands
11.3.2.9.1 Netherlands Alternative Data Market by Data Type
11.3.2.9.2 Netherlands Alternative Data Market by Industry
11.3.2.9.3 Netherlands Alternative Data Market by End-User
11.3.2.10 Switzerland
11.3.2.10.1 Switzerland Alternative Data Market by Data Type
11.3.2.10.2 Switzerland Alternative Data Market by Industry
11.3.2.10.3 Switzerland Alternative Data Market by End-User
11.3.2.11.1 Austria
11.3.2.11.2 Austria Alternative Data Market by Data Type
11.3.2.11.3 Austria Alternative Data Market by Industry
11.3.2.11.4 Austria Alternative Data Market by End-User
11.3.2.12 Rest of Western Europe
11.3.2.12.1 Rest of Western Europe Alternative Data Market by Data Type
11.3.2.12.2 Rest of Western Europe Alternative Data Market by Industry
11.3.2.12.3 Rest of Western Europe Alternative Data Market by End-User
11.4 Asia-Pacific
11.4.1 Asia-Pacific Alternative Data Market by Country
11.4.2 Asia-Pacific Alternative Data Market by Data Type
11.4.3 Asia-Pacific Alternative Data Market by Industry
11.4.4 Asia-Pacific Alternative Data Market by End-User
11.4.5 China
11.4.5.1 China Alternative Data Market by Data Type
11.4.5.2 China Alternative Data Market by Industry
11.4.5.3 China Alternative Data Market by End-User
11.4.6 India
11.4.6.1 India Alternative Data Market by Data Type
11.4.6.2 India Alternative Data Market by Industry
11.4.6.3 India Alternative Data Market by End-User
11.4.7 Japan
11.4.7.1 Japan Alternative Data Market by Data Type
11.4.7.2 Japan Alternative Data Market by Industry
11.4.7.3 Japan Alternative Data Market by End-User
11.4.8 South Korea
11.4.8.1 South Korea Alternative Data Market by Data Type
11.4.8.2 South Korea Alternative Data Market by Industry
11.4.8.3 South Korea Alternative Data Market by End-User
11.4.9 Vietnam
11.4.9.1 Vietnam Alternative Data Market by Data Type
11.4.9.2 Vietnam Alternative Data Market by Industry
11.4.9.3 Vietnam Alternative Data Market by End-User
11.4.10 Singapore
11.4.10.1 Singapore Alternative Data Market by Data Type
11.4.10.2 Singapore Alternative Data Market by Industry
11.4.10.3 Singapore Alternative Data Market by End-User
11.4.11 Australia
11.4.11.1 Australia Alternative Data Market by Data Type
11.4.11.2 Australia Alternative Data Market by Industry
11.4.11.3 Australia Alternative Data Market by End-User
11.4.12 Rest of Asia-Pacific
11.4.12.1 Rest of Asia-Pacific Alternative Data Market by Data Type
11.4.12.2 Rest of Asia-Pacific Alternative Data Market by Industry
11.4.12.3 Rest of Asia-Pacific Alternative Data Market by End-User
11.5 Middle East & Africa
11.5.1 Middle East
11.5.1.1 Middle East Alternative Data Market by Country
11.5.1.2 Middle East Alternative Data Market by Data Type
11.5.1.3 Middle East Alternative Data Market by Industry
11.5.1.4 Middle East Alternative Data Market by End-User
11.5.1.5 UAE
11.5.1.5.1 UAE Alternative Data Market by Data Type
11.5.1.5.2 UAE Alternative Data Market by Industry
11.5.1.5.3 UAE Alternative Data Market by End-User
11.5.1.6 Egypt
11.5.1.6.1 Egypt Alternative Data Market by Data Type
11.5.1.6.2 Egypt Alternative Data Market by Industry
11.5.1.6.3 Egypt Alternative Data Market by End-User
11.5.1.7 Saudi Arabia
11.5.1.7.1 Saudi Arabia Alternative Data Market by Data Type
11.5.1.7.2 Saudi Arabia Alternative Data Market by Industry
11.5.1.7.3 Saudi Arabia Alternative Data Market by End-User
11.5.1.8 Qatar
11.5.1.8.1 Qatar Alternative Data Market by Data Type
11.5.1.8.2 Qatar Alternative Data Market by Industry
11.5.1.8.3 Qatar Alternative Data Market by End-User
11.5.1.9 Rest of Middle East
11.5.1.9.1 Rest of Middle East Alternative Data Market by Data Type
11.5.1.9.2 Rest of Middle East Alternative Data Market by Industry
11.5.1.9.3 Rest of Middle East Alternative Data Market by End-User
11.5.2 Africa
11.5.2.1 Africa Alternative Data Market by Country
11.5.2.2 Africa Alternative Data Market by Data Type
11.5.2.3 Africa Alternative Data Market by Industry
11.5.2.4 Africa Alternative Data Market by End-User
11.5.2.5 Nigeria
11.5.2.5.1 Nigeria Alternative Data Market by Data Type
11.5.2.5.2 Nigeria Alternative Data Market by Industry
11.5.2.5.3 Nigeria Alternative Data Market by End-User
11.5.2.6 South Africa
11.5.2.6.1 South Africa Alternative Data Market by Data Type
11.5.2.6.2 South Africa Alternative Data Market by Industry
11.5.2.6.3 South Africa Alternative Data Market by End-User
11.5.2.7 Rest of Africa
11.5.2.7.1 Rest of Africa Alternative Data Market by Data Type
11.5.2.7.2 Rest of Africa Alternative Data Market by Industry
11.5.2.7.3 Rest of Africa Alternative Data Market by End-User
11.6 Latin America
11.6.1 Latin America Alternative Data Market by Country
11.6.2 Latin America Alternative Data Market by Data Type
11.6.3 Latin America Alternative Data Market by Industry
11.6.4 Latin America Alternative Data Market by End-User
11.6.5 Brazil
11.6.5.1 Brazil Alternative Databy Data Type
11.6.5.2 Brazil Alternative Databy Industry
11.6.5.3 Brazil Alternative Databy End-User
11.6.6 Argentina
11.6.6.1 Argentina Alternative Databy Data Type
11.6.6.2 Argentina Alternative Databy Industry
11.6.6.3 Argentina Alternative Databy End-User
11.6.7 Colombia
11.6.7.1 Colombia Alternative Databy Data Type
11.6.7.2 Colombia Alternative Databy Industry
11.6.7.3 Colombia Alternative Databy End-User
11.6.8 Rest of Latin America
11.6.8.1 Rest of Latin America Alternative Databy Data Type
11.6.8.2 Rest of Latin America Alternative Databy Industry
11.6.8.3 Rest of Latin America Alternative Databy End-User
12 Company profile
12.1 1010Data
12.1.1 Company Overview
12.1.2 Financials
12.1.3Product/Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Advan
12.2.1 Company Overview
12.2.2 Financials
12.2.3Product/Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Dataminr
12.3.1 Company Overview
12.3.2 Financials
12.3.3Product/Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Earnest Research
12.4.1 Company Overview
12.4.2 Financials
12.4.3Product/Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 M Science
12.5.1 Company Overview
12.5.2 Financials
12.5.3Product/Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 Preqin
12.6.1 Company Overview
12.6.2 Financials
12.6.3Product/Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 RavenPack
12.7.1 Company Overview
12.7.2 Financials
12.7.3Product/Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 Thinknum Alternative Data
12.8.1 Company Overview
12.8.2 Financial
12.8.3Product/Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 UBS Evidence Lab
12.9.1 Company Overview
12.9.2 Financials
12.9.3 Product/Service/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 YipitData
12.10.1 Company Overview
12.10.2 Financials
12.10.3 Product/Service/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Company Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions
14. USE Cases and Best Practices
15. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
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