Tiger Analytics

Santa Clara, California

Classification

Private

Financials

Revenue & Profit

Revenue

Valuation

Valuation

Ratios

Revenue / EBITDA
$123 MM
Valuation / Revenue
$123 MM
Valuation / Employees
$123 MM
EBITDA / Revenue
$123 MM
1-Year CAGR (Revenue)
03
3-Year CAGR (Revenue)
11
1-Year CAGR (Employees)
19
3-Year CAGR (Employees)
96

People

Employee Figures

Employees

Key Executives

NameTitleSocialsEmailPhone
John DoeEmployee
--
Jane DoeEmployee
John DoeEmployee
John DoeEmployee

401K

Total Active Participants
1234
No. Participants with Account Balances
56789
Total Liabilities Start of Year
1234
Total Assets Start of Year
56789

Deals

M&A2024-03-15Completed

Seller

Founders Group

Investor Sponsors

NorthBridge PE

Deal Amount

$120M

Target Company Valuation

$1.20 MM

Techniques

Acquisition of Assets, Taken Private

Stake Tags

100%

Is PE deal

Yes

Is deal PE backed

Yes

Total Acquired

100%

Secondary Transaction2023-09-01Canceled

Target

BrightHealth Technologies

Seller

Early Investors Consortium

Investor Sponsors

--

Deal Amount

Undisclosed

Target Company Valuation

NaN

Techniques

Secondary Sale, Management Buy-out (MBO)

Stake Tags

Majority

Is PE deal

No

Is deal PE backed

Yes

Total Acquired

65%

Funding

About

About

Tiger Analytics is a data consulting and advanced analytics firm that helps businesses harness the power of data to drive growth, innovation, and operational efficiency. Tiger Analytics empowers organizations across various industries to make data-driven decisions and stay ahead in the digital age. Their team of data scientists, consultants, and technologists work collaboratively with clients to unlock the full potential of their data assets and drive tangible business outcomes. Product Breakdown: Data Strategy and Roadmap: Tiger Analytics offers data strategy consulting services to help businesses develop a clear roadmap for leveraging data effectively. They work closely with clients to define data-driven objectives, identify relevant data sources, establish data governance frameworks, and develop strategies for data acquisition, storage, and utilization. Advanced Analytics Solutions: The company provides advanced analytics solutions that transform raw data into meaningful insights. This includes predictive analytics, prescriptive analytics, machine learning, and artificial intelligence (AI) models that enable businesses to uncover patterns, make accurate predictions, optimize processes, and drive informed decision-making. Customer Analytics: Tiger Analytics specializes in customer analytics to help businesses better understand their customers, enhance customer experiences, and drive customer-centric strategies. They employ advanced techniques such as customer segmentation, churn analysis, lifetime value modeling, and personalized recommendation engines to enable targeted marketing, improve customer retention, and optimize pricing strategies. Supply Chain Analytics: Tiger Analytics offers supply chain analytics solutions to optimize and streamline supply chain operations. This includes demand forecasting, inventory optimization, logistics analytics, supplier performance analytics, and risk management models. By leveraging data-driven insights, businesses can enhance supply chain efficiency, reduce costs, and improve overall performance. Marketing Analytics: The company provides marketing analytics services to help businesses gain valuable insights into their marketing campaigns, customer acquisition channels, and ROI. They employ techniques such as marketing mix modeling, campaign analytics, customer segmentation, and sentiment analysis to optimize marketing strategies, allocate budgets effectively, and drive customer engagement. Data Engineering and Infrastructure: Tiger Analytics assists businesses in building robust data engineering pipelines and scalable data infrastructure. This involves data ingestion, data integration, data quality management, and data visualization to ensure reliable and accessible data for analysis. They leverage cutting-edge technologies and industry best practices to create robust data architectures tailored to the specific needs of each client.

Keywords

Keywords

Classified

Private