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Data Science & Analytics

Wide pool of resources you can choose

Big Data ready hardware IT infrastructure

Years of experience gives you best practices

Knowledge and expertise in Big Data tools

Depending on your needs, analytics tries to answer following questions:

  • What has been happening in my business? This Descriptive Analytics usually takes form of dashboards that track metrics that capture the pulse of your business. It does not inform you on why something has happened/been happening.
  • Why is it happening? Want to understand why an important metric has been dropping for some time. This Diagnostic Analytics takes form of a one-off analysis to understand the drivers of a specific problem like "why is sales in a region dropping?". It usually follows a successful delivery of Descriptive Analytics.
  • Can it be predicted? Want to understand if past data can be used to predict future events like probability of your customer staying or leaving, estimated loss due to flood etc. This Predictive Analytics usually follows successful implementation of Descriptive and Diagnostic Analytics.
  • Can the predictions guide my decision-making? Want to use a successful predictive model to guide/automate decision making such as allocating optimal media investment based on predicted media performance, to achieve desired sales uplift. Prescriptive Analytics usually follows successful implementation of a predictive model.

The science of strategic decision making based on recommended actions derived from past performance, current conditions, and desired outcomes. If you are the "lucky one" and all your data is clean and available in a "datamart" or "data warehouse" then it a good time to start generating value from it. However, if your data strategy is not yet defined but all your data is being collected in your information systems or elsewhere there are still opportunities to answer some of your burning questions by cleaning and integrating your data and discovering trends and patterns from it. Unfortunately analytics can only be performed on data that has been collected and sometimes findings may point to a need for business process setup or re-engineering before a question can be answered.




A sample deliverable for a predictive analytics project:

  • Project Management
  • Understanding and agreement of problem
  • Data Audit
  • Project proposal, and agreement of scope and costing
  • Data collection and Preparation
  • Exploratory Data Analysis
  • Model Building and Testing
  • Model Deployment
  • Model Performance Reporting and Maintenance

Depending on the maturity of processes, a predictive model can be delivered within 3-6 months with maintenance cycles every 6-12 months depending on the type of business. Similar deliverables with varying timelines can be provided based on type of Analytics project.

Schellden and Big Data & Analytics

Schellden’s Big Data & Analytics team offer complete services to help you harness the power of your big data. Our data scientists are big data wranglers. They use their formidable skills in math, statistics and programming to:

  • Combine large volumes of data from various data sources
  • Analyze the data, often in real-time

The analytic powers, industry knowledge and contextual understanding of our Enterprise Software Engineers help to uncover hidden solutions to your business challenges. This will enable you to make faster and better strategic and tactical decision-making. This in turn will lead to creating new business opportunities and differentiating from the competition.

Take advantage of Schellden’s Senior Architects’ cross-functional experiences across financial services, retail, healthcare, and manufacturing to leverage the big data and predictive analytics. Let us jointly define a roadmap for success and bring ideas to life by establishing what your business can achieve with Big Data.

Schellden helps you achieve success by

  • Delivering value through smart data insights
  • Empowering you to achieve increased revenue options
  • Providing higher marketing impact and lower costs

IOT and AI

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