Big Data Analytics

Bradmark’s Convergent Analytics Appliance (“MCAP”) is a next generation Hyper-Convergent Big Data Analytics Appliance for organizations to cross-correlate their internal and public customer data including structured and unstructured data with high-performance archiving and analysis service for enterprise data, SMS, email, texts, voice, and images (Big Data).

MCAP Real-time Performance

  • Bigger - Scales from < 100 TB to 30,000 TB (30 PBs)
  • Faster - Loads 136 TB per hour = 3.3 PB/day = 23 PB/week!
    • 10 to 100 times faster than traditional Big Data vendors
  • Short Time to Market - arrives configured and tuned: deployed within 4 - 8 weeks after PO
  • Uses Standard SQL, R, MDX and UDF; no need for data specialists
  • Extreme Analytics included without the need of infrastructure custom coding
  • MCAP can do ”5 Nines” using our storage replications/snap/clone and/or multi-site-replication
  • Scales up to 12,000 nodes in a cluster. Nodes are up to 8-sockets (120 cores, 12 TB RAM) - and scales to 12,000 of such nodes

Bradmark’s MCAP is a Big Data Analytics Platform with an ultra-high performance database and Big Data middleware that is fully installed, configured, tested and managed.

  • Best-of-breed compute, network, and storage technologies
  • High performance data ingest and query speeds
  • Ultra-high speed reporting and analytics
  • Lower cost per TB than leading Big Data Vendors
  • Short time to market – arrives configured and tuned
  • Advanced analytics and predictive algorithms with SQL and R
  • No need of infrastructure custom coding
  • Real-time (near real-time) reporting

Industry Use Cases (Most common business drivers)

Cross Industries

  • Compliance and Regulations.
  • E-discovery of documents.
  • Sensor data analytics Perform Intellectual Property (IP) leakage analysis

Sales & Marketing (cross industry)

  • Customer analytics (KYC)
  • Sales forecasting
  • New customer acquisition
  • Customer retention
  • Marketing optimization
  • Sales management
  • Loyalty and customer retention

Intelligence and Law Enforcement

  • Money movement (unusual domestic or international funds transfers)
  • Forensic and predictive fraud analysis (internal and external)
  • Anti-money laundering
  • Security and intelligence analytics


  • Anti-money laundering
  • Operational efficiencies
  • Interday liquidity
  • Know your customer (KYC)


  • Sensor analytics
  • Portfolio analysis (KYC)
  • Quote validation
  • Medical fraud


  • Genomic Research
  • Healthcare Population Health
  • Telematics
  • Fraud analytics


  • Customer Consumption Analysis
  • Cyber Security
  • Anti-money laundering
  • Churn analytics


  • Sensor – smart meter, smart grid, smart city
  • Energy and pricing futures
  • SCADA/Cyber Security
  • Know your customer


  • Cyber Security
  • Benefits fraud
  • Service optimization
  • Mass transit (sensors for smart grid/smart city)


  • SCADA/Cyber Security
  • Energy and pricing futures
  • Preventative maintenance
  • Upstream Efficiency/Exploration
  • Know your customer


  • Sensor analytics (engines/smart grids)
  • Preventative maintenance
  • Physical and Cyber Security

Retail /e-commerce/ Distribution

  • Sensor and POS analytics
  • Customer analytics (KYC)
  • Sales forecasting
  • New customer acquisition
  • Product selection/elasticity/co-movement