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Data Science & AI - Ms Office Solution

DATA SCIENCE & AI

Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.[3] It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, uncertainty quantification, computational science, data mining, databases, and visualization.

Our expertise in Data Science can help you harness your Big Data and turn it into real business value.

Some of our key services include:

  • Analyzing data assets of an organization
  • Developing Data Science roadmaps
  • Creating algorithms to address data challenges
  • Creating visualizations

 

Value Add

  • Our all solutions comes with AI enbaled chat bot using which clients/customers can write questions and get answers immediatley we uses NLP based tehnology in backend

 

Different Solutions we are providing:

  • Customer 360 degree - get a holistic view of your customers including behavioral and cognitive insights
  • Segmentation - cluster and leverage look-alike modeling for segment enrichment and expansion
  • Recommendation Engine - increase upsell and cross sell opportunities using personalized product/ service recommendations
  • Campaign Analytics – maximizing ROI by monitoring marketing spend across multiple digital channels and campaigns
  • Churn Management - Identify the customers who are at risk,  and decide on best action plan based on long term benefits using customer life time value computations

Our team will help you to identify and understand right information and insights to create better business outcomes.

Relevance of Data Science

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  • Stakeholder expectations and Dashboard objectives
  • Business context and constraints
  • Tools and technology choices
  • Internal and external data sources
  • Envisaging outputs/dashboard
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  • Exploratory data analysis
  • KPIs used in industry, best practices
  • Analyses and KPIs to address business problems
  • Stakeholder sign-off on KPIs
  • Refresh frequency decisions
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  • Map data sources to target database
  • Data cleansing and consistency checks
  • Data transformations and KPI construction
  • Load data into the target database
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  • Mock-ups and wireframes
  • Revise with stakeholders
  • Build dashboard prototype
  • Conduct User Acceptance Testing
  • Release dashboard and schedule for updates

Case Studies

 

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The company chose to extend its engagement with Ms office Solution beyond reverse logistics to also include dispatching. ?Ms office Solution understands the end-to-end service supply chain better than any other provider and is second-to-none when it comes to using advanced analytics to deliver the outcomes we need,? said the client’s VP of Service Supply Chain.

Advanced Analytics Helps Global Tech Leader Save $21 Million Annually in Dispatching and Asset Recovery,
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