Big Data Consulting Services

Big data consulting services - ScienceSoft

Big data consulting helps analyze big data and uncover hidden patterns, unknown correlations, and other valuable insights.

Since 2013, ScienceSoft provides big data consulting services to help companies transform large volumes of raw data into actionable insights for informed decision-making and accelerated business value.

Dedicated Big Data Consulting Services

Solutions for All Industries

Enterprise big data warehouse

  • Storage of financial, resource, process, market and customer data.
  • Revenue, cost and investment analytics.
  • Performance analytics.
  • Prediction, forecasting, planning with all interdependencies.
Improvements in:
Profit

Operational analytics

Operational analytics

  • Storage of standards, policies and norms, asset data, employee roles and capabilities, plans, schedules, transactional data, process data, measurements.
  • Benchmarking.
  • Deviations and undesirable patterns detection.
  • Cause-effect analysis, bottleneck recognition.
  • Performance prediction and forecasting. What-if analysis.
Improvements in:
RPE
ROA
Cost

Customer analytics

Customer analytics

  • Storage of demographic, transactional, interaction, online and offline data.
  • Customer segmentation, customer models.
  • Prediction of buying behavior, risks and churn.
  • Personalized marketing, product recommendations, discounts, conditions.
Improvements in:
Revenue per Customer
Churn

Banking and Insurance Solutions

Risk management

Risk management

  • Storage of all data on assets and liabilities.
  • Risk aggregation.
  • Credit risk assessment.
  • Counterparty risk analytics.
  • Liquidity risk assessment.
Improvements in:
Credit loss

Fraud detection

Fraud detection

  • Storage of demographic, transactional, behavioral and social data about customers and policyholders.
  • Normal behavior models.
  • Fraud models.
  • Fraud detection in cash transactions, check tampering, claims.
Improvements in:
Fraud cases detected

Customer behavior analysis

Customer behavior analysis

  • Storage of demographic, transactional, interaction and online/in-app data.
  • Customer segmentation.
  • Prediction of behavior, risks and churn.
  • Recommendations of the most relevant products.
Improvements in:
Revenue per Customer
Churn
Leverage Big Data in Banking and Insurance

ScienceSoft is ready to assist you with building a robust big data solution to obtain:

  • Significant cost savings due to the individualization of banking/insurance offers.
  • Optimized management of the existing customer relationships.
  • Enhanced financial risk management.

Industrial Solutions

Predictive maintenance

Predictive maintenance

  • Equipment sensor and maintenance data storage.
  • Predictive failure models.
  • Failure prediction in soft real time.
Improvements in:
Equipment uptime
MTTR

Condition monitoring

Condition monitoring

  • Storage of equipment sensor data and output quality data.
  • Predictive quality models.
  • Prediction of defects or reduced yield.
Improvements in:
Yield

Supply chain management (SCM)

Supply chain management (SCM)

  • Storage of data on suppliers, costs, inventory, demand.
  • Demand/supply balancing.
  • Supply chain cost modeling and optimization.
  • Supplier risk estimation.
Improvements in:
Out-of-Stock
Supply chain cost

Asset tracking & monitoring

Asset tracking & monitoring

  • Location, state (sensor readings) and usage data storage.
  • Classification models.
  • Alerting and reports on mislocation, misuse, underutilization, prefailure condition.
Improvements in:
ROA

Fleet management

Fleet management

  • Fleet location, speed and fuel data storage.
  • Classification models.
  • Reports on fleet efficiency and utilization, driver behavior, policy compliance, maintenance needs.
Improvements in:
Fleet operational cost
Compliance

Retail and Ecommerce Solutions

Customer behavior analysis

Customer behavior analysis

  • Storage of demographic, online and transactional data.
  • Customer segmentation.
  • Prediction of buying behavior and churn.
Improvements in:
Revenue per customer
Churn

Online personalization

Online personalization

  • Storage of demographic, online and transactional data.
  • Customer models.
  • Personalized product recommendations, discounts, conditions.
Improvements in:
Revenue per purchase
Revenue per customer

In-store personalization

In-store personalization

  • Storage of demographic, transactional and people tracking data.
  • Customer models.
  • Personalized product recommendations and discounts delivered to a customer's smartphone.
Improvements in:
Revenue per purchase
Revenue per customer

Dynamic price optimization

Dynamic price optimization

  • Storage of customer, competitor and operational data.
  • Price optimization modeling.
  • Storage of recent customer behavior data.
Improvements in:
Profit

Inventory optimization

Inventory optimization

  • Storage of demand, OOS, price, customer, external demand drivers, inventory cost data.
  • Demand/supply balance models.
  • Inventory level recommendations.
Improvements in:
OOS
Inventory cost
Try Out Big Data in Retail and Ecommerce

ScienceSoft is ready to assist you in building a robust big data solution to achieve:

  • Tailored shopping experience with increased personalization.
  • Accelerated sales due to dynamic price optimization capabilities.
  • Demand forecasting and informed business planning.

Healthcare Solutions

Remote patient monitoring (RPM)

Remote patient monitoring (RPM)

  • Storage of patient, medical device data and measurements.
  • Alerting on acute conditions.
  • Trends and patterns requiring a doctor's attention.

Personalized care

Personalized care

  • Storage of EHR, PGHD, genetic makeup, allergies, eating habits.
  • Personalized care plan recommendation.
  • Assessment of the personalized risks and lifestyle changes recommendations.
Use Big Data in Healthcare to the Full

Consider building a robust big data solution to enable:

  • Enhanced personnel management.
  • Reduced costs due to optimized staffing and operational procedures scheduling, medication distribution, and more.
  • Advanced patient care and personalized treatment.
  • Enhanced risk and fraud management in health insurance.

Telecom Solutions

Subscriber behavior analysis

Subscriber behavior analysis

  • Storage of demographic, service usage, payment data.
  • Subscriber segmentation.
  • Prediction of behavior, LTV and churn.
  • Recommendations of the most relevant products.
Improvements in:
ARPU
Churn

Network management and optimization

Network management and optimization

  • Storage of data on network elements, their load, service level and failures.
  • Service quality assessment.
  • Demand and needed capacity forecasts.
  • Value-based network capacity planning.
Improvements in:
CSAT
ROA
Make Big Data Beneficial in Telecoms

ScienceSoft’s team will help you build a robust big data solution to get:

  • Improved network capacity planning, optimization and forecasting.
  • Reduced customer acquisition and retention costs.

Technologies

Hadoop

Hadoop

  • Architecture.
  • Data ingestion and cleansing.
  • Data analysis.
  • Performance tuned and cost optimized.

Spark

Spark

  • Streaming data processing.
  • Interactive analytics.
  • Batch processing.
  • Machine learning.
  • Tuning: memory consumption, Spark SQL.

Cassandra

Cassandra

  • Data model.
  • Cassandra cluster structure that balances speed, consistency and cost.
  • Read and write performance optimized.

DynamoDB

DynamoDB

  • Data model.
  • Cost optimized.
  • Read and write performance optimized.

Improvements

Performance

Performance

  • Write performance optimized.
  • Read performance optimized.
  • Cloud cost kept reasonable.

Cost optimization

Cost optimization

  • Storage cost optimized.
  • Processing cost optimized.
  • Performance not affected.

Security

Security

  • Granular access control.
  • Data provenance.
  • Security audit capabilities.
  • Compliance.

Data quality

Data quality

  • Data lake with landing, staging and curated zones.
  • Data cleansing procedures (e.g., with Hadoop MapReduce or Spark).
Build Your Big Data Solution Fast and Easy!
ScienceSoft is ready to help you build an optimal big data solution within time and budget for your decision-making process to be based on facts, not gut feeling.

OUR HALLMARK Big data CONSULTING PROJECTS

Big data consulting for a leading Internet of vehicles company
Big Data Consulting for a Leading Internet of Vehicles Company

ScienceSoft advised the Customer on enhancing their big data analytics capabilities to analyze the currently available IoT data from 600,000 vehicles connected to their systems and easily scale up to support data growth.

Big data consulting and training for a satellite agency
Big Data Consulting for a Satellite Agency

Supporting a satellite agency in their shift to big data, ScienceSoft has assessed the architecture and the technology stack of their future solution, as well as prepared training materials and conducted workshops for their team.

Big data implementation for advertising channel analysis
Big Data Implementation for Advertising Channel Analysis

Migration to a new analytical system that is 100 times faster compared to the old one and can process 1,000 different data formats to provide insights into media consumption patterns in 10+ countries.

Big data implementation for IoT pet trackers
Big Data Implementation for IoT Pet Trackers

To support a long-term customer in a new service launch, ScienceSoft delivered a scalable IoT data management solution that allowed processing 30,000+ events per second from 1 million devices.

Hadoop lab deployment and support
Hadoop Lab Deployment and Support

ScienceSoft deployed an on-premises Hadoop lab for one of the largest US colleges. Now, their students can get hands-on experience with HDFS, MapReduce, Apache Hive, Apache Spark, Apache Pig, and other big data technologies.

Our Big Data Experts

31 years in data analytics and 7 years in big data, our big data team helps companies from all major industries to put their big data potential into business growth. Our domain experience and willingness to help companies with their big data needs have been highly praised by trustworthy rating communities and earned us numerous recognitions, including Top Data Analytics Company by the Silicon Review and Top Big Data Consultants by The Manifest.

Alex Bekker, Head of Data Analytics Department at ScienceSoft

Under Alex’s leadership, our expert team helps businesses bring their disparate big data together and turn it into actionable insights. Being a huge fan of advanced big data technologies, Alex guides companies to optimized business operations, sales effectiveness, personalized customer experience and accurate predictions.

Mary Zayats, Lead Business Analyst and Baking IT Consultant at ScienceSoft

Mary leads ScienceSoft’s Business Analysis team in the field of Business Intelligence and mobile software development. In big data projects, she works on comprehensive requirements elicitation, analysis and documentation for complex and multi-faceted projects, consulting technical teams on the overall solution architecture, and more.

Vladimir Sinkevich, Head of Java Development at ScienceSoft

Since 2010, Vladimir has been leading ScienceSoft’s Java development services to help digitally transform enterprises and empower startups with such cutting edge technologies as big data, AI, IoT, etc. Bringing in newer techs to ScienceSoft’s Java practice, Vladimir assists our clients in addressing complex business needs.

Our Customers Say

We needed a proficient big data consultancy to deploy a Hadoop lab for us and to support us on the way to its successful and fast adoption. ScienceSoft's team proved their mastery in a vast range of big data technologies we required: Hadoop Distributed File System, Hadoop MapReduce, Apache Hive, Apache Ambari, Apache Oozie, Apache Spark, Apache ZooKeeper are just a couple of names. ScienceSoft's team also showed themselves great consultants. Whenever a question arose, we got it answered almost instantly. 

Kaiyang Liang Ph.D., Professor, Miami Dade College

Testimonial from Miami Dade College - ScienceSoft

TECHNICAL COMPONENTS OF A BIG DATA SOLUTION WE COVER

TECHNOLOGies we use

Distributed storage

Database management

Data management

Big data processing

Machine learning

Programming languages

SUCCESS STORIES ON Big Data CONSULTING AND BEYOND
Get Big Value with Big Data ASAP!
Achieve first tangible big data outcomes within 3-6 months with ScienceSoft! We offer prompt assistance in designing and implementing a fitting big data solution to help you get one step ahead of the competition.