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Analytics

Analytics

Information Now. . . Not Later

Capturing billions of data points, analytics such as machine learning and AI are support customer needs today while anticipating the needs of tomorrow.  However, collecting and drowning in data rather than using data to help drive decisions offers no value.

axsysTek uses best-in-class machine learning and AI tools to fuel on-demand interaction and engagement and enhance future experiences. Our solutions provide insight, predict behavior and personalize experiences that can improve opportunities.

dbArchitect

To unlock the value in data, organizations are modernizing platforms to gain insights they didn’t know existed.  dbArchitect develops a data strategy and framework to fuel growth and innovation using: 

  • Data Discovery 
  • Data Strategy Roadmap
  • Data Architecture
  • Data Integration / Migration
  • Data Quality Assessment
  • Data Lake, Warehouse Design

dbDash

Organizations need to connect information across sources so they have real-time data in a unified view. dbDash connects and vizualizes data into required consolidated views through:

  • Data Modeling
  • Custom Dashboards
  • Data Cleaning
  • Social Media Dashboards
  • Data Mining / Web Scraping
  • Sales / Operations Dashboards

dbAnalytica

You need a data foundation with cutting edge analytics to be a data-driven enterprise. dbAnalytica provides AI, machine learning and other analytic solutions to build that environment including:

  • Unified Analytics
  • Generative AI
  • Financial Analytics
  • Custom Analytics
  • Predictive Analytics
  • Statistical Analytics

Tek Info - Analytics

Data Lake is a centralized repository that allows storage of all structured and unstructured data at any scale; you can store your data as-is, without having to first structure the data, and run different types of analytics: dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.

Data Warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications; the data structure, and schema are defined in advance to optimize for fast SQL queries, where the results are typically used for operational reporting and analysis. Data is cleaned, enriched, and transformed so it can act as the “single source of truth” that users can trust.

Data Lake is different, because it stores relational data from line of business applications, and non-relational data from mobile apps, IoT devices, and social media; structure of the data or schema is not defined when data is captured. This means you can store all of your data without careful design or the need to know what questions you might need answers for in the future. Different types of analytics on your data like SQL queries, big data analytics, full text search, real-time analytics, and machine learning can be used to uncover insights.

Gathers, manipulates, and displays geographic information system data and imagery including GPS and satellite photographs to create geographic models and data visualizations for more accurate modeling and prediction of trends; puts data in context of its geography and can lead to insights that are not immediately visible when analyzed with traditional data visualization methods.

Guided analytics where data analysis is prescribing or guiding you toward a specific action to take; the merging of descriptive and predictive analytics to drive decision making.

About axsysTek

axsysTek is a world class IT and Digital Media company creating solutions for industry, government and non-profits across IT, sales, marketing, media, finance, and operation areas.

We create innovative solutions that improve customer engagement and streamline employee productivity.

Washington, DC HQ

  • 1717 K Street NW 
    9th Floor - Suite 900 
    Washington, DC 20006
  • +1 202 243 7830‬ 
    dc.info@axsysdev.com