services & Pricing

On-Demand Analyst

How it works

Analysis is critical to running a modern enterprise, and decisions should be backed by data. It helps teams understand what happened in the past, make informed predictions about the future, and evaluate alternative options
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A well-executed analysis requires developing a sound methodology, processing raw data, and testing multiple hypotheses, all of which are time-consuming. When you don't have the internal bandwidth to run an analysis, we can help

Types of analysis

The types of analysis we commonly perform for our clients include:

  • Retrospective analysis:
    Delving into historical data to understand what happened, and identify the drivers of an issue. This is most commonly triggered by a deterioration in some KPIs
  • Predictive analytics:
    Applying statistical analysis on historical data to determine the likelihood of something happening in the future, for example a customer renewing its contract
  • Optimization:
    Determining the structure and rate of business levers, such as pricing, discount, and commission. Historical analysis is frequently combined with competitor benchmarking to determine the final output
  • Quantification:
    Assessing and isolating the impact of specific business initiatives on the P&L, or on some KPIs. This can be either forward-looking potential impact, or historical-looking realized impact
  • Modeling:
    Creating Excel-based models and tools that allow you to play with different inputs to see the outputs. This is usually for on-going use by your teams in their workflow
Engagement process

Our typical process to run an analysis consists of six steps. The level of effort of each step varies significantly project-to-project

  1. Understanding the business objectives of the analysis from you and your teams. Every analysis should have a clear purpose that supports a goal
  2. Developing the methodology and formulating initial hypotheses. We leverage our experience and input from your team for this step
  3. Collecting the data to be used in the analysis, generally internal but some analysis can also require external data
  4. Executing the analysis, which usually consists of multiple sub analyses
  5. Validating the results using both our own experiences as well as inputs from you and your teams
  6. Review the results with you and your teams, and iterating the analysis based on feedback
Analysis tools

For executing analysis we normally use Excel, SQL, R, Crystal Ball, and Azure Machine Learning. For communicating output we use PowerPoint and Excel

Ongoing support

Upon project completion, we provide your team with the analysis files and instructions for updating them with new data. If needed, we will also be available to modify or refresh the analysis on a time-and-material basis

Benefits
How we can support
‍‍your analysis needs
Bigger analytical toolkit

Different business problems require different methodologies. We have expertise with various types of analysis, including multivariate regressions, Monte Carlo simulations, and machine learning

Versed in business problems

We offer more than analytical skills. We leverage our extensive experience analyzing problems and developing recommendations for managers, directors, and C-level executives to structure analyses and validate outputs

Less onerous workload

Well-executed analyses can add significant time demands on top of your team's regular responsibilities. We can take on the heavy lifting of problem modeling and data crunching, allowing your team to focus on the big picture

Pricing

Pricing varies significantly depending on the type of analysis, volume of inputs, number of hypotheses, availability of data, cleanliness of data, number of iterations, format of output, among other factors. Below is a range of typical pricing

Simple analysis
$1,000-$3,000

Analyses with clean data and standardized methodologies, without needing many explorations and iterations. For example: KPI deep dives, quantification, simple models  

More complex analysis
$4,000-$20,000

Analyses that model complex business processes, have high outcome uncertainty, have multiple sub analyses, involve large number of stakeholders, and so on

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case studies
On-Demand Analyst

Predicting customer renewal to prioritize sales resources

On-Demand Analyst

Pricing analysis to identify the cause of margin leakage

See all case studies
other services

We can also help you set up a cost-effective data warehouse, and create automated reports and dashboards

01
Data warehousing

A data warehouse streamlines reporting workflows and enables advanced analytics. We can help you implement a cost-effective one in the cloud

Learn more
02
Report Automation and dashboarding

We can automate your time-consuming Excel reports, and create automated dashboards to help you stay on top of your key metrics

Learn more

We’d love
to work with you

Get in touch