• darkblurbg
    Powerful Analytics
    from R
  • darkblurbg
    Custom Analytics Applications
    Solve problems specific to you.
  • darkblurbg
    Predictive Insights
    Use data to predict events and scenarios,
    and tell you where you're going.
  • darkblurbg
    Twitter Bootstrap + R
    Beautiful & Powerful
  • darkblurbg
    Use Information Models to Drive Actions
    Cutting-edge Prescriptive Analytics.

Twitter Analytics

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Market Basket Analytics

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Analytic Visualizations

Simplify Complex Information

  • Box & Whisker Plots

    Great for distributions Displays outliers easily and describes data spread
  • Sankey Diagram

    Show Flows & Filters Great for customer flow to highlight drop-off points
  • Network Diagram

    Highlight Relationships Understand product or customer relationships clearly
  • Cluster Plots

    Show groups of information Visualize naturally occuring groups
  • Hierarchical Dendrogram

    Show information hierarchies Display relationships
  • Decision Trees

    Highlight causative factors Understand root cause easily

Advanced Analytics Services

Vizualytics custom analytics apps maximize your data mileage.
Quick to develop and powerful in analytical outputs, vizualytics custom apps solve real world business problems and help you grow with data.

Analytical Programming

Use computational methods to process data and get desired analytical views. These can be to create derived variables, derived attributes and other fields based on business concepts and ideas.

Data Science

Use established data science methods to derive deeper insights from your data. Use data inferences to test hypotheses, and ultimately create actionable outputs.

Application Development

We create and deploy analytics to the enterprise. Web-based and acccessible by authorized devices/security levels, create presentable and shareable knowledge to the enterprise - FAST.

Using Advanced Analytics to Mine & Predict

From a Data Perspective.

Chat Transcripts/E-mail Data, Social Feeds

Predominantly unstructured text data sources - they lend themselves to text processing and analytics and require appropriate visualization methods. We process text through standard techniques such as stemming, stopword removal, etc. and apply classification algorithms to work on these data sources. Find out things like popular terms, subjects and sentiment from data.

CRM Data

Understand operational efficiency patterns, location intelligence and identify predictors to successful sales conversions.

Transaction Information

Mine transaction data to identify key patterns in bills. Find out items purchased together, temporal and geographic patterns. Use these to suggest product recommendations to existing/prospective customers. Incorporate cross-sell and up-sell intelligence into your systems.

Revenue & Financial Data

Use historical time-series patterns to understand what might happen tomorrow. Forecast Revenue using configured statistical methods. Mine Data to be informed on Costs. Understand what are the top predictors for upward sales and focus on areas that matter.

Sensor & Machine Data

The velocity and volume of sensor and machine-generated data sources of information lend themselves better to customized analytic and big data solutions. Use a mix of pattern-finding methods and statistics to understand as well as predict future outcomes - for example when an event may occur.

Advanced Analytics Techniques

Clustering & Classification

Supervised & Unsupervised Data Clustering
  • Derive Groups & Outliers


Network Analysis
  • Derive relationships through Commonalities

Top Predictors

Determine what impacts an outcome
  • Attribute & Pattern Finding Methods

Survival Analysis

Time to An Event
  • Predict The Time of an Outcome


Time Series Analysis
  • Revenue & Metrics

Market Basket Analytics

Items Frequently Bought Together
  • Beer and Diaper Classic Example

Collaborative Filtering

Similarity based on Users & Product Purchases
  • Amazon Style Recommendation Engine

Text Analysis

Rule-Based Mining & Sentiment Analysis
  • Identify Key Words, Terms, Sentiment

Social Media Analytics

Analyze Twitter/Facebook Data
  • Likes, Topics, Words, Sentiment, Trending Insights

Applied Telecom Analytics

Leverage Telecom Data to Perform Better:

  • Understand customer online activity - what are customer interests and profiles? These in turn can be offered to partners that have products & services for customer segments.
  • Network operations - find out when the next fault/failure/incident could occur.
  • Make use of location and temporal information more effectively in order to provide timely offers.
  • Mine unstructured data sources to understand key patterns and trends, and look for behavioral, purchase, and lifestyle patterns.

Applied Financial Services Analytics

Applied Analytics for Organizations in the Financial Sector:

  • Better Credit Scoring Process by using Customer Transaction Data
  • Identify and Prevent Defaults, Improve Collections
  • Target existing as well as new customers to the banks products & services through cross-sell and up-sell intelligence
  • Mine transaction data to identify unusual and fraudulent behavior, and use data patterns to predict such events.

Rapid Development

Because we work off design templates, ready to plug-in visualization libraries and high-level languages, it means that our time is spent bringing these together and making usable applications for our clients

Focused Problem Solving

Canned BI products have their strengths in allowing users to explore data endlessly, at least to the extent of data the tool has ingested. Custom BI applications have benefits in that they solve specific business problems and reduce efforts spent doing repetitive work to get these focused insights.

Data-Science Outsourced

Having resources to delve into data and solve issues is not always an option for some organizations. We've looked at enough data to understand data as a field, we absorb business issues quickly, and we also know the technological possibilities to take you there faster.

There are fifty who can reason synthetically
for one who can reason analytically.

- Sherlock Holmes -

Looking for Something?

Talk to us for more information.

Let's build smarter insights from data.