The amount of data that an organization generates from multiple touch points has grown exponentially. The data sources are also disparate in nature, generating various forms of data i.e. structured, semi-structured and unstructured data. It is not about the collection of the data, but the ability to economically harness this data and generate actionable insights is more important.
This is where Data Lake is gaining lots of momentum when compared to traditional warehouse technologies which limit scalability and difficult to use for analytics purposes. Data lake is a powerful data architecture that allows businesses to store, blend data for analysis and scale at magnitudes in near real-time.
Enhance cyber security and reduce fraud. Reduce compliance cost. Improve transaction monitoring processes. 360° Customer insights for customized banking solutions.
Better control of resources to meet citizens’ need. Link local authorities for better collaboration. Provide sustainable solutions for healthcare, terrorism and natural disasters.
Grid delivery optimization Maximize asset lifetime Drive maintenance scheduling and reduced down-times.
Treat and identify illnesses Pick-up warning and prevent adverse effects Improve site selection for clinical trials Healthier alliance across networks
Identify better teaching strategies Identify areas where students may not be learning efficiently Customize programs and reduce dropouts Transform the delivery of education.
Track & predict environmental impacts on crop yield. Identify defects/diseases/pests in plant, soil, etc. Reduce wastage by ideal crop forecasting
Monitor performance of individual dealer Predictive plant maintenance Increase productivity Enhance supply-chain management
Recommend content on demand Measure content performance Collect real-time report on several platforms Social graph analysis and profile segmentation
Reduce customer churn Network performance optimization Optimized plan recommendation Capacity planning and preventive maintenance
Predicting trends & forecasting demand Price optimization for competitive edge Product recommendations Improve customer experience and loyalty
Set fair and accurate policy premiums Identify fraudulent claims Policy renewals and new revenue opportunities Prevent identity theft
Understand global trends Product pricing to specific customers Uncover new product categories Maintain brand integrity by quality control
For better managing routes Fuel efficiency and cost savings Improve vehicle maintenance Enhance customer satisfaction by on-time delivery
Fuel performance Navigation and risk insight Plan equipment maintenance and minimize flight disruption. Explore customer buying habits
Big data is still in its infancy, and you need the right partner with the requisite experience and skilled enablers to help you understand the scope of your big data initiative. Our partner services can help you quickly get going while ensuring that all your requirements are met with a team of individuals dedicated to your cause.
Our team of eminent data scientists and big data engineers have decades of experience in delivering solutions in deep analytics and machine learning and can help you set up big data competencies in-line with your businesses and goals.
We provide end-to-end planning and deployment services that cover:
Flooding a Hadoop cluster with unorganized and unmanaged data can severely hamper your big data analytics efforts. We can help you design, implement, and provide able support so that you can get the most out of the big data implementation strategy.
We are adept at dealing with data lakes, ingestion pipelines, cloud platforms, and data integration for structured and unstructured data. We ensure that our data engineering methods reduce your operational costs, discover new information and revenue sources, and speed up new product development.
As part of our big data lakes services, we can help you during the modeling, materialization, and preparation of various analytical and BI tools, conduct OLAP analytics, and facilitate discovery and exploratory analytics within requisite data labs.
Our managed services for big data ensure active 24/7 monitoring and maintenance of your distributed storage framework/platform in both local and cloud environments. We also provide optional onsite support and dedicated project managers.
With our expertly created training modules, we can help your employees exploit the full business value of your data. We provide both certification training and skill-based training tailored to your requirements.
Big data is still in its infancy, and you need the right partner with the requisite experience and skilled enablers to help you understand the scope of your big data initiative. Our partner services can help you quickly get going while ensuring that all your requirements are met with a team of individuals dedicated to your cause.
Our team of eminent data scientists and big data engineers have decades of experience in delivering solutions in deep analytics and machine learning and can help you set up big data competencies in-line with your business and your goals.
To accept batch data, real-time and near-real time data using replication tools and streaming technologies.
(NiFi, Flume, Spark Streaming etc.)
Scalable, cost-effective storage and allows fast access to data exploration.
HDFS, Cassandra, HBase, MongoDB, Neo4J etc.
Select and organize data into usable formats for further processing.
Spark, Map Reduce, BSP
Apply in real-world for various business needs.
Python, MLLib, Mahout, R
Implemented at every layer of the data lake from ingestion to visualization. The basic aim is to manage data integrity, track changes made and stop unauthorized data access.
(Sentry, Ranger, Atlas)
Implementing new technologies – big data, artificial intelligence, machine learning and deep learning – will not make difference if people using it can’t leverage it effectively. That’s why it’s imperative to integrate technology into every area of the business to extract the most value from digital technologies.
That’s why Quadratyx created both certification training and skill-based training tailored to your unique requirements.
Big Data Training
ANALYTICS MART FOR RETAIL FINANCE
Monthly Reports Available With in
of data being loaded
PROACTIVE PHARMACOVIGILANCE
Query Execution Time Reduced to
Minutes
IMPROVE TEAM EFFICIENCY
No-SQL data mart
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