Find the Northstar

Introducing Northstar, the BAM Elevate Platform that gives our portfolio companies a competitive advantage through data, engineering, and insight.

How We Help

Discover how our experts in data science, go-to-market, and talent deliver a new type of support to our portfolio companies.

Build Teams

Identify priority talent

Optimize org design and operational efficiency

Analyze compensation and equity terms

Fuel Growth

Analyze customer behavior

Implement data-driven go-to-market strategies

Integrate new data and technologies

Execute

Access BAM's financial markets network

Benchmark financials & KPIs

Prepare for IPO

Northstar

BAM Elevate’s data platform puts the power of our data science and AI capabilities in the hands of our portfolio companies with expert insights and interactive data tools.

Insights
Insights provide access to curated content from our Data Science, Go-to-Market, and Talent teams, so that our portfolio companies can easily pull playbooks from their expertise.
Data Tools
Data tools provide a suite of interactive dashboards, so that portfolio companies can access our data and models at-scale, and easily operationalize insights.

Data Science at Our Core

Data underpins everything we do. BAM Elevate’s dedicated data science and engineering team exists to support our portfolio companies and give them a competitive advantage.

Discover
Discover

Exploratory tools uncover notable trends and opportunities to leverage BAM’s access to over 1000 data sources.

Optimize
Optimize

Proprietary models explain and recommend customer behavior, sales, and pricing strategies.

Operationalize
Operationalize

Data platforms and experts help operationalize insights and automate downstream business processes.

Benchmark
Benchmark

Proprietary reporting compares financials and KPIs with peers and model IPOs.

Case Studies

See how we’re helping our portfolio companies with data science.

Fintech: Distributed Team Compensation Approach

Challenge  
The company has an increasingly distributed workforce and traditional compensation benchmarking tools don’t have enough location based data.  

Solution  
Leveraged multiple data sources to build a framework with which the company could more accurately approach compensation based on location.  

Outcome  
Helped the portfolio company calibrate how to integrate framework into their compensation philosophy and ultimately helping them with efficiency.

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