Data Assessments help you rapidly evaluate, validate, and leverage advanced analytics and AI in your organization. These assessments thoroughly review the quality, completeness, and statistical effectiveness of your data and reveal exciting opportunities to achieve your goals.

Developing data products requires careful consideration of how the data is organized, its biases, and its limitations. Neglecting this critical step often leads to data engineers/scientists spending extra time building workarounds and hacks, slowing down the development process and reducing (or removing) accuracy. And let's not forget the added expense! With an effective data structure and landscape, building data products can take weeks rather than years.

Data Assessments discover novel and valuable insights, presenting immediate vetted opportunities for AI and analytics in your organization. At Data317, we provide these insights and offer development strategies, relevant software packages, and research to empower your team to build the technology themselves.

Let's dive into how data assessments are done at Data317.

Data Assessment Process

Step 1: Strategic Alignment

We'll kick off with an alignment session to dive deep into your objectives, motivations, and desired outcomes for advanced analytics and AI. This helps define the scope and focus of the assessment, ensuring the delivery of valuable insights and solutions.

Step 2: Data Discovery & Quality Review

We'll thoroughly analyze your area of expertise, connect with relevant data sources, and explore potential third-party data options. Our goal is to help you achieve successful, complete, and unbiased data initiatives. Through multiple analytical techniques, models, and visualizations, we will dissect your data for obstacles that may hinder your progress and provide recommendations on how to overcome them.

Step 3: Pattern Recognition & Analysis

We'll put our algorithms to work for you, analyzing your data with a keen eye for patterns and relationships. Our goal is to reveal actionable data science and AI opportunities/approaches that achieve your objectives, as well as discover new and exciting possibilities to leverage.

Step 4: Synthesis & Development Scoping

Based on the assessment results, we'll deliver your team a robust landscape of your data, an actionable data science roadmap to achieve your goals, and suggest immediate next steps. We'll enable your team with available development strategies, software packages, and research to execute your data opportunities.

These data assessments give you a thorough understanding of your data and the exciting opportunities that accompany it. They equip your team to efficiently build outstanding data products that boost revenue, streamline operations, and amaze customers. At Data317, we believe they are the best first step to getting started or accelerating your data journey.