Deriving Insights from Data
The Decision Science practice at 1904labs focuses on enabling clients to derive insights from their data that facilitate data based decision making. At the beginning of each engagement, we work with clients during problem discovery to identify issues that could be solved with data. Next, we help identify their data needs and assist in building data collection steams. We then help clients gain insights and understanding about data they are collecting and how it can improve their business. Finally, we develop continuous delivery of those insights through various means such as analytics services or interactive dashboards, allowing clients to continue to inform decisions with their latest data on an ongoing basis.
Our Decision Science practice empowers clients to derive insights from their data. These insights facilitate data based decision making to improve efficiency, reduce costs, and provide better service to users and customers.
1904labs Decision Science Offerings and Capabilities
The Decision Science practice provides business insights to clients by applying analytic and machine learning techniques to their data in order to facilitate data-driven decisions. These insights are delivered as presentations or reports, interactive dashboards, or API services, according to the use case.
- Data Visualization
- Machine Learning
- Artificial Intelligence
- Interactive Dashboards
Data Engineering + Decision Sciences
Decision Science is a perfect compliment to the Data Engineering practice, which helps clients organize, clean, and understand what data they have. Then Decision Science helps the client derive insights from their data to make data-driven decisions. Many analytics companies assume clients have the data and focus on the analytics, but most clients do not have their data prepped for analytics. The combination of Data Engineering and Decision Science practices enables 1904labs to deliver improved and cohesive analytic pipelines to feed decision making.
Because 1904labs has both a Data Engineering and a Decision Science practice, we deliver end-to-end data pipelines that pull data from disparate sources throughout an organization, consolidate, clean, and catalog it with metadata, and feed it to Decision Science models that serve predictions and analysis in dashboards or APIs.
How Can Decision Sciences Help Your Enterprise?
Decision Science improves efficiency which can reduce costs to the business, simplify interactions for users, and allow services to scale.
Decision Science understands and predicts users’ preferences which can personalize applications and increase user satisfaction, resulting in greater user retention.
Our Decision Science practice can apply cutting edge data science techniques to:
- Improve efficiency
- Reduce costs
- Tailor interfaces
- Improve health care
- Increase customer retention
- Help a company become Predictive vs. responsive