Data Analytics

Unlock valuable insights and efficient workflows with Data Analytics, empowering your businesses to make informed decisions on SEO Strategies, Advertising, Digital Marketing, and improving Business Processes. Data models and predictive analytics leverage statistical algorithms and machine learning to identify potential outcomes, risks, and opportunities, helping organizations anticipate customer preferences, market trends, and operational needs. A standard data analytics project would include:

• Data Engineering - Data Collection, Storage and Analysis

• Business Intelligence - Publishing the Results of Data Engineering to inform and support Business Objectives

Business Intelligence

Build comprehensive Business Intelligence services to keep reports and dashboards on hand, empowering data-driven decision-making. Our approach to BI development begins with a meticulous examination of your business objectives and key performance indicators. Through close collaboration with your team, we pinpoint the most pertinent data metrics, crafting an interface that offers actionable insights at a glance. Some of our favorite platforms include: Msft Power Bi, ArcGIS Online, Tableau.

Data Engineering

Lets do a Data Engineering design of your data management and optimize business operations through practical data entry and data processing solutions. By Engineering Data structure and analysis according to Business Requirements  we are able to craft solutions tailored to business needs. Common needs include regular reporting, BI dashboards, and the funneling of data into other analytical services such as PyTorch (machine learning), ArcGIS Server (spatial analysis), and AI.