ClearStory Data Among Cloud Top 500

4300 Bohannon Drive, Suite 100

Menlo Park, CA, 94025, USA

+1 650-322-2408

https://www.clearstorydata.com

758

ClearStory Data Recent Developments

ClearStory Data introduced AI-driven ‘Instant Data Discovery’ to reveal business insights instantly, across complex data and overcome the distortion of insights caused by traditional BI visualizations. New ‘Instant Data Discovery’ capability is builded on ClearStory’s Machine-Intelligent Business Analytics platform so insights across complex, blended data can be uncovered immediately and not be lost due to the limits of traditional BI visualizations. Furthermore, ClearStory Data introduced Machine-Driven ERP Data Discovery, Data Quality Rationalization and Data Conversion to Reduce Costs for ERP Upgrades and Accelerate Migrations to Drive Better Insights from ERP Platforms and Other Data Assets.

ClearStory Data Overview

Ownership: - Private

Employees: 70

Functional Market: Analytics and BI,

Key Verticals: Banking and Financial Services, Consumer Packaged Goods, Healthcare, Life Sciences, Manufacturing, Media, Retail,

ClearStory Data Key Enterprise & Cloud Applications

ClearStory Data,

SCORES Analysis

ClearStory Data Strengths

ClearStory Data is transforming Enterprise-scale Business Analytics via machine-learning and AI so companies can empower their business users and business leaders to speed insights and discover more from their disparate data assets for material business impact. Clearstory is uniquely differentiated with modern capabilities across data prep via Data Inference, automated Intelligent Data Harmonization, Instant Data Discovery, Auto-discovery of Business Insights in Collaborative StoryBoards. Clearstory Data also is a pioneer in leveraging Apache Spark-based data processing to speed insights from large and complex data sources.

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  • Key differentiators
  • Domain Expertise
  • Product portfolio
  • Solution scope

ClearStory Data Revenues, $M:

Type/Year 2016 2017 YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
Enterprise Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud Applications Revenues, $M Subscribe Subscribe Subscribe

* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.

ClearStory Data Revenue Breakdown By Type, $M:

Type License Services Hardware Support & Maintenance SaaS
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe

ClearStory Data Revenues By Region, $M

Region % of Total Revenues 2017 Total Revenues, $M 2017 Enterprise Applications Revenues, $M 2017 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

ClearStory Data Direct vs Indirect sales

Region Direct Sales Indirect Sales Total
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

ClearStory Data Customers

No. of Customers: Subscribe

No. of Enterprise Applications Customers: Subscribe

No. of Cloud Customers: Subscribe

No. of Cloud Subscribers: Subscribe

Don't Miss our Customer Database


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  • Reference wins across regions
  • Customer Size segments
  • Customer wins momentum

ClearStory Data Opportunities

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  • Market Opportunities at the vertical and subvertical levels
  • Mergers and Acquisitions (M&A), Funding
  • Geo Expansions

ClearStory Data Risks

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  • Ability to handle internal and external risk and challenges

ClearStory Data Ecosystem

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  • Health of ecosystem
  • Network Effects of BPO, ISV, SI
  • VAR Partners
  • Direct vs Indirect sales

ClearStory Data Cloud Infrastructure Insights

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  • Cloud Infrastructure (IaaS)
  • Cloud Platform (PaaS)
  • Cloud Application delivery (SaaS)
  • Data Center (Hosting)

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.


Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).




For additional information on our methodologies, here's the link:

https://www.appsruntheworld.com/
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