MECBOT is a unified data analysis platform that helps enterprises get actionable insights from data faster to reduce the time it takes to transform data into profits. Developed by FORMCEPT Technologies, MECBOT allows enterprises to preprocess, analyze, and gain insights from various structured and unstructured data sources through features like semantic harmonization, machine learning algorithms, and interactive dashboards. MECBOT can be deployed on-premises, in private or public clouds, and reduces the time to insights by half while delivering 60% cost savings.
Unified Data Analysis Platform Reduces Time to Insights by Half
1. UnifiedAnalysisPlatform
MECBOT is a radically simple Unified Data Analysis Platform that helps enterprises to get actionable
insights from their data faster, thereby, significantly reducing the time taken to transform their data into
dollars.
FORMCEPT Technologies and Solutions Private Limited, headquartered in Bangalore (India), is a Big Data
technology company singularly focused on enabling enterprises to transform data into dollars swiftly and
consistently through its “Unified Data Analysis Product” called MECBOT™
MECBOT – Data Analysis Product of choice for Cognitive Data Driven Application
• Significant time reduction for
Data Pre-processing
• Acts as your Data Lake / Data Reservoir
(Harmonized Data)
• Domain specific extensibility
• Horizontal/Vertical Scale
• Efficient Resource Utilization
• Well Known languages like Java,
Python, R etc. to write applications
• Supports Batch Processing, Stream
Processing and Interactive Analysis
Key Features
MECBOT: Available On Premise, Private Cloud and Public Cloud
MECBOT reduces your time to actionable insights by half and delivers 60% cost savings
Capture & Store Pre-Process Enrich Analyze Get Insights
Documents
Events
Geo-Spatial Data
Video & Image
Social Media
Multi-dimensional
Datasets
Relational
Datasets
Data Folds
Semantic
Harmonization
Feature
Engineering
Analysis Models
Statistical
Modelling
Machine
Learning
NLP & Graph
Algorithms
Domain
Experts
Analysts
UI/UX
Experts
Dashboard
Provides Security, Supports Audit and Backup
2. Enrichment
For more information, please visit www.formcept.com or contact us at contactus@formcept.com
Benefits
FactorDB
(MetadataLayer)
SampleApplication
Faster Data to Insights and decisions
Data Scientists can focus on core Business problem
Data Driven Application Development workbench
Co exist with existing infrastructure
MECBOT
FORMCEPT - Our Approach
FORMCEPT, MECBOT are products of FORMCEPT and FORMCEPT, MECBOT and DataFolding are the registered trademarks / service marks of FORMCEPT
Technologies and Solutions Private Limited (2011-onwards). Other company, product and service names may be trademarks or service marks of others.
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• Web of Data within your enterprise
• Knowledge Base built on Linked Data concept
• Extensible – Enrich your content with domain specific annotations
• API driven – Enrich your content with rich APIs
• Enables free flow search on your data
Analysis
Text Analysis
• Token Annotator
• NGram Annotator
• Sentence Annotator
• New line Annotator
• Section Annotator
• POS Annotator
• Keyword/NER
• Event Annotator
• Summarizer
• Sentiment Analyzer
• Free-flow Search
Graph Analysis
• Page Rank
• Shortest-path
• Centrality Algorithms
• Influencer Analysis
Machine Learning
• Linear Regression
• Collaborative
Filtering
• Trend Detection
• k-means clustering
• Naïve Bayes
• Anomaly Detection
• RFM Analysis
• SVM
PMML Support
• PMML Models
exported from tools,
like- R, SAS, SPSS
can be imported to
score at a scale
• Distributed data store of facts which can be scaled elastically and horizontally
• Provides flexible type system for modelling data and relations sanely in form of facts
• Asynchronous data indexing for comprehensive query support for real-time applications
• Seamless interactive analysis through Cascading, Spark and TinkerPop framework
• Supports - Auto purge (TTL), Compression using variety of algorithms, like- snappy, gz, lz4 and lzo
• In-built versioning of data by time
• ODBC/JDBC access
• Provides fail-over and strict consistency