The report on “Vendor Comparison in IoT Analytics, 2017 : MnM Dive Matrix” based on the MnM DIVE methodology covers the comprehensive study of the key vendors offering solutions for IoT Analytics. The report will help stakeholders to analyze detailed information regarding their competitors on the basis of their product offering and business strategy. The report reviews major players that offer IoT Analytics solutions and outlines the findings and analysis on how well each IoT Analytics vendor performs within our criteria.
Browse 83 Figure spread through 113 pages and in-depth TOC on "Vendor Comparison in IoT Analytics, 2017 : MnM Dive Matrix"
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This report is instrumental in helping the stakeholders, such as IoT Analytics vendors, system integrators, value-added resellers, and other channel partners, in making concurrent business choices on the deployment of IoT Analytics solutions.
Most of the vendors are trying to provide a complete IoT Analytics suite or platform, which can be used for various business functions such as sales, marketing, finance, HR, operations/production, product development, supply chain, and customer services. They are competing to provide the end-users with an innovative combination of analytics features as well as are trying to cater to all types of business applications, such as asset condition monitoring, predictive maintenance and asset management, anomaly detection, early fault warning and prevention, performance management and optimization, health and safety monitoring, remote monitoring, and others. Machine learning, Artificial Intelligence (AI), Natural Language Processing (NLP), and advanced condition prediction are the most crucial data analytics capabilities/features of an effective IoT Analytics solution offered by major vendors to predict business outcomes using the IoT data of any format from various sources.
The following vendors are included in the report:
MnM DIVE Methodology
The MnM DIVE methodology involves extensive research to identify the key vendors offering IoT Analytics solutions. A comprehensive list of IoT Analytics vendors was prepared, through secondary research referring to annual reports, press releases and investor presentations of companies, white papers, directories, and databases. Based on the breadth of product offering, organization size, and other selection criteria, the list was narrowed down to select the top 25 vendors.
During the production cycle of the report, in-depth interviews were conducted with various primary respondents, which include key opinion leaders, subject matter experts, directors, and C-level executives of selected IoT Analytics vendors to obtain and verify critical qualitative and quantitative information. This primary data was collected mainly through questionnaires, mails, and telephonic interviews.
After completion of the data gathering and verification process, the scores and weightage for the shortlisted vendors against each parameter were finalized. Based on the extensive secondary and primary research, each criterion for the selected vendors was scored on the scale ranging from 0 to 10. After the ratings were finalized, each vendor was placed in the MnM DIVE matrix based on their score in product offering and business strategy in the IoT Analytics market.
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