Data Science & AI - Ms Office Solution

DATA SCIENCE & AI

Data Science is the study of data which involves decision making. It is an interdisciplinary field of developing methods and processes for recording, storing and analyzing data to extract useful information. The primary purpose of Data Science is to extract complete insights and knowledge of any type of data whether it can be structured or unstructured.

Data science includes topics like statistics, data analysis, machine learning and other related methods to analyze data. Our experts in Data Science will help you in handling your Big Data and turn it into real business terms.

Some of our key services include:

  • We analyze data assets of an organization and develop Data Science roadmaps
  • We will help you in creating algorithms to overcome data challenges
  • We provide customized service to experience automated and improved business process.
  • Our team can create the best visualization of data to make decisions.
  • Our support team has AI-enabled chatbot which can provide its services 24*7.

 

Types of solutions we provide:

1. Cognitive Analytics:

We understand customer behaviours and needs & delight them with matching expectations.

 

  • Customer 360 degrees: there is a need for understanding the definite perspective of customers both behavioural and cognitive insights.
  • Segmentation and targeting: Cluster and leverage based on resemblance modelling for segment enrichment and expansion.
  • Recommendation Engine: Increase up-sell and cross-sell opportunities using personalized product or service recommendations.
  • Campaign Analytics: we help you in maximizing the return on investment (ROI), by monitoring marketing spend across multiple digital channels and campaigns.
  • Churn Management: Identify the customers who are at risk, and decide on the best action plan based on long term benefits using customer lifetime value computations

 

2. Next-Gen Enterprise Operations Analytics

We can increase the efficiency of all departments of organizations by understanding the enterprise information and identifying hidden opportunities.

  • Demand Analytics: with correlated historical sales information, we provide you with improved demand prediction.
  • Asset Analytics: with latest technology and equipment of sensor, warning, log, image and external data collection we can predict the type of failure and it’s time to failure.
  • Security and Risk Analysis: we try to grasp behaviour anomaly identification, net promoter score and satisfaction prediction.
  • Sales Analytics: we enhance the efficiency of the company with opportunity conversion analytics, pricing analytics, demand and sales forecast.
  • HR Analytics: we provide you with integrated technology management analytics which helps in sourcing to exit of an employee.
  • Finance Analytics: with advanced analytics, we can forecast and optimize the use of financial resources.

 

Recently, Data Science applications are spread to different sectors including retail, e-commerce, finance, marketing, healthcare, insurance, loyalty, gaming and many more other. Each sector has its own field of application. It can be related to forecast, churn, recommendation engine and logo detection & text processing. The main advantage of AI and machine learning is providing self-learning capabilities and scalability.

We provide you with advanced algorithms of AI which involves Data Science. They can be Random Forest, XGboost and Support Vector Machines. With the emergence of deep learning algorithms, image and text processing are very successful. Data Science Solutions are helpful to choose the best suitable features for your business.

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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