Analytics Tools 2

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Part
01

Analytics Tools 2

Topbox, Sayint.ai, Lexalytics, Stride.ai, EpiAnalytics, Clarabridge, Woveon, Conversus, Cognigy.ai, Monkey Learn, and Luminoso are analytical tools that analyze conversations and text using different features and technologies such as Natural Language Processing, Artificial Intelligence, etc. More information on the topic has been presented below, along with the research methodology.

1. TOPBOX

Features:

Reach:

2. SAYINT.AI

Features:

Reach:

3. LEXALYTICS

Features:

Reach:

  • Some clients of the platform include Hootsuite, Falcon.IO, Satmetrix, and GoodData.
  • While the Facebook page of Lexalytics has 2,312 likes, its Twitter page has 18.8K followers.

4. STRIDE.AI

Features:

Reach:

5. EPIANALYTICS

Features:

Reach:

  • Microsoft, Salesforce, Exact Target, and Astadia are some major clients of EpiAnalytics.
  • The clients are from industries such as the automotive industry, CPG, banking and insurance, telecom industry, etc.
  • The platform has 28 likes on Facebook and 327 followers on Twitter.

6. CLARABRIDGE

Features:

Reach:

  • Clarabridge serves many industries such as healthcare and insurance, business and finance, retail, and consumer goods. The platform has 130 pre-built industry use cases and models.
  • Clarabridge has already processed 18 billion conversations.
  • It has 1,823 likes on Facebook and 5,779 followers on Twitter.

7. WOVEON

Features:

Reach:

8. CONVERSUS

Features:

9. COGNIGY.AI

Features:

Reach:

10. MONKEYLEARN

Features for developers:

Features for support teams:

Features for product teams:

Reach:

11. LUMINOSO

Features:

Reach:

  • Luminoso "works with Fortune 1000 and Global 2000 companies to help analyze large amounts of unstructured data — both streaming and batch."
  • Some of their notable clients are Supercell, Liberty Global, Microchip, Denso, etc.
  • The platform has 114 likes on Facebook and 1,912 followers on Twitter.

RESEARCH STRATEGY

YOUR RESEARCH TEAM APPLIED THE FOLLOWING RESEARCH STRATEGIES:

We started the research by searching across the official websites of the given analytics tools to identify the features of the respective tools. For most of the tools, the features were readily available in different pages of their websites. However, the features of EpiAnalytics were not very clearly presented. EpiAnalytics has many products and services. All of those products and services have their own features. Therefore, we generalized the features of EpiAnalytics and corroborated the features across multiple pages of the website. In this way, we were able to obtain the five main features of EpiAnalytics.

This research requires the top five features of the tools. For multiple tools such as Topbox and Stride, there were only five features presented on their websites. Therefore, we assumed the five features as the top ones. For some tools, there were more than five features. In such cases, we have presented the features in the same order in which they were presented in the respective websites. Thus, we assumed that the features that have been placed higher in the lists are the top ones. Therefore, we were able to present the top five features of all the analytics tools.

Thereafter, we shifted our focus towards the reach of the tools. Generally, the information regarding the reach of a tool is presented on the home page or other pages of its website. We defined "reach" by the number of customers that have used the respective tools. We searched for this information across the official websites of all the tools. We were only able to find general information on the tools. We were also able to identify the major clients of some companies. However, none of the websites' pages contained the required information.

Thereafter, we tried searching for news, tech, and business articles that might contain information on the reach of the tools. We checked the sources such as Forbes, Entrepreneur, Search Business Analytics, and more. We thought that this strategy might be successful because these databases generally write articles on these tools and mention the number of people using them. However, we found that the articles on the aforementioned sources only discussed the products in general and referred to the official websites that we had already searched.

We then searched across business directories such as Crunchbase, Zoominfo, Owler, etc. We hoped to find information on the number of clients of the companies developing the tools. We assumed that the clients of the companies would be using the respective tools as well. We were able to find information related to the respective tools' revenues and partnerships. We also found lists of major clients of some companies. However, we did not find the total number of clients of the companies.

Thereafter, we shifted our focus to social media websites. We checked the social media pages (Facebook and Twitter pages) of all the tools. On reaching certain milestones (client number), social media pages usually post about their success. We thought that the pages might contain information on the number of users using the respective tools. However, the social media pages of the tools only contained employee-related posts, general posts, and ads.

Instead of looking for the number of users and clients, we then looked for any statistical data related to the number of software downloads or subscriptions. We hoped to find the total number of downloads or the number of people that subscribed to the services of the companies. The main idea was that the number of downloads would be equivalent to the number of users or clients. Tech-related websites sometimes mention the number of downloads or subscriptions as a marketing strategy. We again searched across the respective websites of the tools. We also applied the other aforementioned strategies. During this search, we were able to find some useful information on the industries where the clients of some tools operate. However, we found that these companies don't reveal information on the number of downloads publicly.

We also searched for the annual reports of the companies to find their total number of sales. We hoped to triangulate the total number of users by using the total number of product sales. In this case, the total number of sales would be equivalent to the total number of people buying the tools. Hence, we could obtain information on the reach of the tools. We looked through all the pages of their websites to find any report or information on the topic. However, we did not find any report or information on sales. All the information yielded during this search was already found earlier. We assumed that the annual reports might be unavailable because the companies are privately owned.

Therefore, we have presented the social media reach of all the tools as the information might be helpful. Similarly, for some tools, we were able to identify the industries where their clients work. We were also able to find information on the number of texts and conversations processed by some tools (Clarabridge and Stride). Hence, we have presented the available information under the heading "Reach." However, we were unable to find any information related to the reach of Conversus. Conversus does not have Facebook and Twitter accounts. Therefore, we were unable to provide its social media reach. Additionally, its website does not contain information related to its customer base. Hence, the "Reach" section has been excluded for Conversus. The screenshot evidence of the included features has been presented in the attached Google Doc. In this way, we were able to complete this research.


Sources
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