Big Data Consulting Services

Big data consulting services - ScienceSoft

Big data consulting services aim to assist companies in designing and implementing big data analytics solutions that allow transforming raw data into valuable insights and making informed business decisions.

Certified by Amazon Web Services and Microsoft, ScienceSoft’s team works with a wide big data technology stack, including Apache Hadoop, Apache Spark, Apache Storm, Apache Cassandra, and other frameworks.

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

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

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.

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

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

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).
Fuel Up Your Analytics and Reporting with Big Data!
ScienceSoft is ready to consult you on implementing or supporting your big data solution for your decision-making process to be based on facts, not gut feeling.

OUR HALLMARK Big data CONSULTING PROJECTS

Our expert team

31 years in data analytics and 7 years in big data, our 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 has been highly praised by many trustworthy rating communities and earned us numerous recognitions, among which are Top Data Analytics Company by the Silicon Review and Top Big Data Consultants by The Manifest.

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

TECHNOLOGies we use

Distributed storage

Amazon S3
Azure Blob Storage

Database management

Azure CosmosDB
Amazon Redshift
Amazon DynamoDB
Apache NiFi
MongoDB

Data management

Apache Airflow
Talend
Informatica
Zaloni
Apache Zookeeper
Azkaban

Big data processing

Apache Kafka
Apache Flink
Apache Storm
Druid
Apache Giraph

Machine learning

Spark's Machine Learning Library
Amazon Machine Learning
Azure Machine Learning Studio
TensorFlow
Theano
Torch
Einstein

Programming languages

Python
R
Java
Scala
SUCCESS STORIES ON Big Data CONSULTING AND BEYOND
Don’t Welter in Tons of Big Data!
ScienceSoft’s team will consult you on how to derive benefits from the ever-growing data sets you have and make big data analytics an integrant part of your decision-making process to get one step ahead of competition.