Data Science Solutions such as advanced analytics, machine learning and AI help businesses to stay competitive by automating processes, improving operational efficiency, and uncovering ROI producing insights.

The Data Science Readiness Assessment from Aptitive will get you started on the path to data science by taking a look at your goals, reviewing your current state, and designing preliminary models to uncover how data science will be most impactful for your organization.

At the end of your data science readiness assessment, you’ll have a clear vision of how data science will be most valuable to your organization.

From a Data Science Readiness Assessment, your organization will expect to gain:

CURRENT STATE ANALYSIS

An audit of your current data structure and analytics maturity to determine where you should start

REAL WORLD OPPORTUNITIES

A review of data science opportunities and benefits based on your industry and function

DATA SCIENCE IMPACT

A clear understanding of the impact data science will benefit your organization

ROADMAP TO SUCCESS

A custom data science roadmap that leads you from your current state to achieving your data science goals

CLEAR & ACTIONABLE GOALS

A custom overview of data science goals and KPI’s based on your business objectives

What We’ll Do:

Conduct stakeholder interviews to understand current methods and factors

Help better understand the relationship between your goals and KPIs

Help to understand causes of observed events

Explore your data with a fresh perspective

Identify business areas that would benefit strongly from further data science work

Decide what data science technologies fit your organizations needs and requirements

Provide a summary of data science options and insight on how they positively impact your business

What You’ll Get:

An experienced data scientist to guide you through the process from strategy to model development

Preliminary results identifying key areas of opportunity for data science as well as detailed explanations on the benefits, tailored to your organization

Recommendations on approach and technologies to use in order to implement solutions

A full summary of data structures and needed manipulation to perform data science analysis

Technologies:

Our tech agnostic approach means that we can build a solution with the leading cloud platforms, data management, and data science technologies.

Here are some of the technologies our team will use to build the right solution for your organization.

DATA SCIENCE:

  • Dataiku
  • H20
  • Python
  • R
  • Spark
  • AWS Sagemaker
  • Azure IoT Edge
  • Azure ML
  • Databricks

BI & ANALYTICS:

  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Power BI

CLOUD PLATFORMS:

  • Azure (SQL Server, Azure DW, Azure SQL, Azure Data Lake Store)
  • AWS (Redshift, Athena, Lake Formation)
  • Google Cloud (BigQuery)
  • Snowflake (multi-cloud)
  • Databricks (multi-cloud)

Get Started Today

Uncover how data science will be most impactful for your organization with a Data Science Readiness Assessment.