Top 100 Data & Analytics Start-ups & Scale-ups, 2019 (Spreadsheet with Investment Rankings) -

DUBLIN--()--The "Top 100 Data & Analytics Start-ups & Scale-ups (Spreadsheet with Investment Rankings)" report has been added to's offering.

We are hurtling further every month into a new data-driven world, and you need to know who to trust - who is doing well in this new world, who is doing badly, and who to look to as a leader in the future. You need a collection of knowledge that captures the experience and trends of the world's top minds in data science, and can form highly accurate predictive models created by advanced machine learning.

To assist the decision-making of data analytics specialists and venture capitalists, and to offer a smoother and more confident transition into this new world, the author has created the Top 100 Data & Analytics Start-ups & Scale-ups (Spreadsheet with Investment Rankings).

The product features four pages of detailed content in various format choices (xls, tsv, csv) and provides investors with accurate, real-time information and reliable analytics regarding detailed venture evaluations,

The database was created using machine learning (AI) to analyse and identify winning (and losing) patterns in a potential investment, based on historical, industrial and sectorial data. The database also looks at more granular details, specific to each investor and potential investment, which will improve the decision-making capabilities for investors, and reduce the time it takes for preliminary research. This database is estimated to be the work equivalent to 1 FTE (Full-Time Employee) - or to put it another way, could reduce a company's research costs by 20 per cent.

The disparate data sources for this database have been aggregated using NLG (Natural Language Generation). AI will dominate industries in the decades ahead, and this database allows companies to get ahead of the curve through increased productivity, efficiency and reduced operational costs.

Key Topics Covered

Tab 1 Company-Specific Data Categories include:

  • Company Name
  • Ranking Number
  • Industry Sector
  • Homepage
  • Company Brief
  • Company Founder(s)
  • Company Founding Year
  • Company Headquarters
  • Company Location (City, Country)
  • Number of Employees
  • Company Video
  • Company LinkedIn Page
  • Company Crunchbase Page
  • Company Development Stage
  • Most Recent Company Funding Date
  • Most Recent Funding Round
  • Most Recent Funding Amount (Millions of Euros, Rounded)
  • Company Investors
  • Exit Geographical Region
  • Time to Funding (Years from Founding Date to Funding Date)

Tab 2 Geographical Visualisation of Company Distribution Data:

  • Headquarters Location (City Country)
  • Funding Amount (Millions of Euros Rounded)
  • Company Region

Tab 3 Charts:

  • Company Name
  • Least amount of time (in years)
  • Least amount of time (in years)
  • Mode, Mean & Median Frequency of Least Amount of Time to Funding
  • Percentage
  • Descriptive statistics

Companies Mentioned

  • Birst
  • BitSight
  • Capillary Technologies
  • Cloudflare
  • Data Bricks
  • DataGravity
  • DataRobot
  • Datadog
  • Datameer
  • Delphix
  • DoubleDutch
  • Druva
  • EnterpriseDB
  • Fractal Analytics
  • Gigya
  • Hansa Cequity
  • Health Catalyst
  • InfluxData
  • Innovaccer
  • InsideView
  • KenSci
  • Looker
  • Lytics
  • Manthan
  • Mapbox
  • Medallia
  • MemSQL
  • Meta Data Analytics 360
  • Mintigo
  • Mu Sigma
  • MuleSoft
  • Persado
  • Platfora
  • PlayVox
  • Qualtrics
  • Qubole
  • Quid
  • Redis Labs
  • Snowflake
  • Socrata
  • Sprinklr
  • Sumo Logic
  • Sysdig
  • Tamr
  • Tanium
  • Visier

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900