INDUSTRY SOLUTIONS

Leveraging vast industry knowledge and experience to deliver comprehensive solutions. There is no “one size fits all” solution. Machine learning, AI, and data science are no exception.

WE BRIDGE THE GAP BETWEEN BUILDING A MODEL AND REALIZING ITS FULL VALUE

Our experts work with your team to implement a solution that elevates your Machine Learning (ML) and AI workflows - from proof-of-concept to operations. We seamlessly deploy, manage, monitor, and integrate models into your applications and products and train you on accessing real-time, actionable insights that your business can act upon.


Financial


Government


Manufacturing


Retail

Financial

For financial institutions, the usage of data science techniques provides a huge opportunity to stand out from the competition and reinvent their businesses. There are vast amounts of continuously changing financial data which creates a necessity for engaging machine learning and AI tools into different aspects of the business. Our experts are well versed in the capabilities of data science and machine learning to empower our customers to cope with a number of principal financial tasks. We help our customers make critical improvements and train them on what improvements the technologies bring and how they can reshape their business strategies. Some of the common use cases include:

  • Customer analytics
  • Customer lifetime value
  • Fraud detection

Government

Our data science team uses best practices to help your teams become more efficient and focused, deliver greater value and spread data science principles across the organization. We have the experience, knowledge and the tools to convert financial, operational, social and other government related data into useful information, which in turn helps federal agencies (as well as other public and private sector organizations) in many ways. The are many benefits, including faster processes enabled by intelligent automation, better detection of fraud, waste and abuse using machine learning. Some of the common use cases include:

  • Improve citizen services
  • Use business intelligence to make better financial decisions
  • Increase government efficiency in operations
DataCrunch Lab Capability Statement

DataCrunch Lab Capability Statement

Manufacturing

The manufacturing industry is in full transformation. In today’s digital age, customers, suppliers, and business partners are requiring greater agility, speed, and scale from manufacturers. Wherever your manufacturing business is within the continuum of leveraging data science, DataCrunch Lab is here to help. Contact us today for a free consultation with one of our manufacturing industry specialists and take the next step in leveraging all your data has to offer. Some of the common use cases include:

  • From Local to Enterprise-Level Data Analytics
  • Optimization of Operations to a Higher Degree than Ever
  • Perfecting Quality as a Competitive Advantage
  • Predictive Maintenance to Reduce Costs
  • Manufacturing process defect tracking

Retail

Artificial intelligence and data science have changed the retail industry tremendously. Companies implement different models of data analysis to enhance customer’s shopping experiences. Transactions are analyzed and processed to optimize the marketing moves and merchandising processes. We focus on empowering and training retailer industry customers to analyze data and develop deep customer insights to achieve superior business results. Some of the common use cases include:

  • Recommendation engines
  • Market basket analysis
  • Personalized marketing
  • Inventory management
  • Location of new stores
  • Customer sentiment analysis
  • Lifetime value prediction

OUR INSIGHTS

Machine Learning and its Impact on Businesses

March 27, 2019

Machine learning (ML) offers potential value to companies trying to leverage big data and helps them better understand subtle changes in behavior, preferences or customer satisfaction. Business leaders are beginning to appreciate

Transforming Business with the Internet of Things

March 25, 2019

As the Internet of Things (IoT) adoption continues to accelerate, it is changing how we interact with the world around us in increasingly complex ways. The global effect is becoming more apparent as

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