DATA ART SERVICES

Data Analytics Services

Eshaal Technologies offers a comprehensive kit of data analytics services to convert our customers’ historical and real-time, traditional and big data into actionable insights.

  • 10 years in data analytics and data science.
  • 8 years of experience in designing and implementing business intelligence solutions.
  • 5 years of big data consulting and implementation practice.

Managed Analytics Services

Eshaal Technologies is a reliable outsourcing partner for companies that want to get insights from their data while skipping the technicalities. We take care of the data analytics infrastructure and apply advanced data analysis to provide our customers with regular and ad hoc reports, alerts, and predictions, as well as self-service analytics. As a result, the companies that make use of our managed analytics services can prioritize on accurate planning of their activities, ongoing business management, change management, and optimization of their business processes.

  • During 10 years in data analytics, we have built up comprehensive competencies that cover traditional and big data, data management, business intelligence (including self-service BI and data visualization), advanced data analytics, and data science.
  • We have substantial domain expertise, our focal industries being manufacturing, retail and wholesale, healthcare, financial services.

Types of Managed Analytics Services We Offer

Complete outsourcing of data analytics

For those customers who have tons of raw data to derive insights from but don’t plan to invest into constructing a full-scale analytical solution and supporting it, we offer managed analytics services on a monthly subscription fee basis. The subscription fee covers:

  • Data management activities, such as master data and metadata management, data quality assurance and data security.
  • Regular reports, including the ones powered with advanced analytics.
  • Access to self-service analytics.
  • The agreed number of ad hoc reports of the specified complexity.
  • Alerting of an agreed type, for instance, alerts requiring attention or urgent actions.
  • Regular tuning of machine learning models, if such models are used.
  • Extra activities and services are covered based on the time-and-materials (T&M) basis.

Outsourcing a part of data analytics

To those customers who already have a centralized analytical solution but don’t have time or resources to upgrade it to satisfy the specific analytical needs of a particular department, we suggest outsourcing the uncovered part of their data analytics to us. In this case, in addition to the same service as with complete outsourcing, we ensure the integration of our data analytics infrastructure with the customer’s central data warehouse and closely collaborate with the customer’s support team

Traditional date

  • Financial data.
  • Transaction data (e.g., sales, orders, payment, returns)
  • Coustomers, vendor, partner data
  • Asset data
  • Product data
  • Process data, and more

Big data

  • Customer data
  • Employee data
  • Behavioral data
  • Sensor data
  • Web data
  • Geospatial data

Non-structured data

  • Text
  • Images
  • Videos