Data Analytics & AI:
Extract more value from your most valuable asset

Still maintaining those legacy systems? Is all your data stuck in silos?

Today’s business environment means your data is growing rapidly, but the consequences for not keeping up can be crippling: Your data will soon become unmanageable, you’ll be at a higher risk for errors and operational issues, and your team’s trust in your outputs will soon deteriorate.

From addressing data quality and data security to ensuring proper governance and compliance, our data scientists can help you leverage the power of data and AI to meet your business goals and stay well-positioned for future success.

Data Science

Using scientific methods, statistics and algorithms, our experienced data scientists can not only effectively extract insights from your data pipeline but also help you make data-driven decisions to optimize your operations.

Data Architecture

If your data is distributed and your data sources disconnected, a proper data architecture is imperative to ensure correct data processing and AI applications. Driven by both your business goals and your data needs, our data architects will work with you to define the best data model and determine the underlying structures needed to support it.

And if you’re struggling with on-prem legacy systems, we can help you leverage cloud platforms to more efficiently manage and process your data. Migration to the cloud can improve both your systems’ scalability and the speed of data processing tasks.

Data Governance and Compliance

Depending on your size, the types of data you work with (PII or PHI for example) and mandatory compliance requirements, governance needs can vary extensively. We will help with building a governance program that will work for your business so that it is sized correctly.

Data Management/Pipelines

Your business likely has more sources of customer data than ever before, yet those incoming data feeds are often error-prone and at risk of breaches and security attacks. We can help establish a process of ingesting raw data, processing and transforming it, then porting it to a data lake or warehouse for further analysis. Additionally, all code will be managed in a code repository, and we will utilize continuous integration/continuous deployment (CI/CD) tools to ensure reliable delivery of changes from development through test/staging to production environments.

Data Integration/Ingestion/Output

From collecting data from various sources to combining and transforming it – and then loading it into a single dataset or data model – our team can help you get your arms around everything that’s coming in and then extracting consistent data you can analyze and act upon.

Data Visualization & Insights

The sheer volume of raw data is overwhelming, and there’s simply too much to manage using your existing tool and methods. We can help you transform complex data into easy-to-understand charts and graphs so you can identify trends and patterns that impact your business, enabling you to correct issues before they become problems or respond to shifts in the market quicker. By identifying these key relationships and insights, the data can start to tell a story that allows for better decision-making.

AI and Data

AI plays a transformative role in data & analytics by enhancing the ability to extract valuable insights from vast datasets. By integrating machine learning models and natural language processing, AI automates many labor-intensive tasks such as data preparation, cleansing, and modeling, allowing for near real-time analysis and visualization of results. This synergy between AI and data analytics not only improves the accuracy and speed of data-driven decision-making but also empowers businesses to predict trends, identify patterns, and make informed strategic decisions. The combination of AI's predictive capabilities and advanced analytics ensures that organizations can navigate complexities with agility and stay ahead in a competitive landscape.

Reporting

Once you’ve identified the key trends and highlights from the data, you need to organize and present your findings in a format that can be understood. Proper data reporting can: