Business Intelligence & Analytics

Telling Stories With Data

There’s more data out there than ever. And that the amount of data being created is increasing every year. To make sense of it, extract the most important insights and use them to make smart business decisions requires two approaches working together: Business Intelligence and Data Science.

 

Our team of BI experts, data scientists, software engineers, and business analysts leverage the best industry tools and techniques for analyzing data, finding patterns, uncovering gaps, bottlenecks, correlations, and new opportunities for revenue, cost-cutting, and business optimization. These approaches are intended to help your organizations better serve your customers, improve products and services, as well as systematize operations. And this is just the beginning of what stories we can tell with data. What story do you want to tell?

Insights For Smarter Decisions

BI & Analytics

Services

Concept Key Analytics helps organizations harness their data to make smarter business decisions. Our typical engagements range from use-case specific applications to full-scale analytics transformation programs.

Analytics Strategy

Articulate business needs, vision, and anticipated impact

  • Development & implementation Strategy
  • Software election
  • Utilization assessment
  • Business forecasting
  • Data mining
  • Data acquisition & integration analysis
  • Predictive modeling
  • Integrate Robotic Process Automation, Machine Learning, and Artificial Intelligence
  • Open up APIs to integrate third party data

Analytics Assessment

Understand where your organization stands in analytical capabilities, data, and reporting management abilities

  • Identify, analyze, and prioritize risks and business needs
  • Use Cases
    • Marketing research
    • Gather business intelligence for data-driven decision making
    • Expanding digital capabilities across channels

Data Management

  • Manage the availability, usability, integrity, and security of data
    • How data is stored, archived, backed up, and protected from mishaps, theft, or attack
  • Deal with data challenges including: generation, aggregation, integration, analysis, mining, testing, modernization, visualization, storage, search, sharing, transfer, querying, updating, and ensuring privacy
  • Integrate external APIs, with emphasis on security

Data Analysis

  • Integrate and analyze structured, semi-structured, and unstructured data
  • Coordinate a comprehensive quantitative/qualitative analysis to explain why results occur
  • Create predictive models to forecast future results/events

Data Visualization

  • Turn data into meaningful insights and tell visually-engaging stories
  • Discover underlying patterns and relationships among data
  • Communicate complex ideas simply
  • Organize and present information intuitively

Revenue Analytics

  • Uncover cross-sell/up-sell opportunities
  • Determine best marketing mix
  • Uncover trends, find gaps, understand market opportunities
  • Enhance micro-targeting, improving product features, and enable more effective distribution channels
  • Drive sales and loyalty, increase retention, improve marketing and redefine the customer experience

Customer Analytics

  • Evaluate consumer behavior and customer experience across channels
  • Integrate and analyze third-party data sources (social)
  • Run sentiment analyses
  • Segment customers
  • Deploy real-time micro-targeting
  • Predict life-events
  • Forecast churn/attrition

Operations Analytics

  • Uncover operational bottlenecks
  • Identify and detect situations relating to inefficiencies, opportunities, and threats
  • Track, analyze, and report efficiency improvement metrics and benefits realization
  • Adopt and integrate industry standards and best practices
  • Setup and deploy Business Activity Monitoring (BAM) and Operational Intelligence (OI) systems

Risk Management Analytics

  • Use data to anticipate, prevent, and mitigate risks, responding to imminent threats and implementing mitigation strategies
  • Enhance insights for risk, fraud, and customer servicing
  • Manage credit risk, origination and underwriting, loss mitigation, liquidity and foreign exchange risk

Marketing Analytics

  • Determine best marketing mix
  • Automate market campaigns
  • Tailor marketing messages
  • Increase customer engagement and traffic
  • Re-target and re-engage stagnant customers
  • Test pricing scenarios; compare estimates vs. actuals
  • Examine customer behavior patterns and serve up relevant promotional offers

Respond, Adapt, Sustain

Methodology

Analytics Transformation Approach

Gather, Analyze, Decide

Observe

  • Understand how data influences your company’s decision-making
  • Data Sources
  • Data Flow
    • ETL (Extract, Transform, Load)
    • Data Cleaning
    • Data Warehouse

Define

  • Build a business case on solutions that add meaningful value to your organization
  • Define data aggregation methodology (sourcing, sandbox environment, variables)

Ideate

  • Determine strategy and implementation plan
  • Set up data aggregation

Implement

  • Set up aggregation models to derive new insights
  • Develop algorithms to visualize outputs

Evaluate

  • Validate that ongoing analytics add direct value to business decisions
  • Use analytics-informed insights to launch new initiatives

Metrics & KPIs We Analyze

Looking for custom dashboards built on these metrics? We can make it happen.

Financial
  • Cash-on cash return
  • Return on Investment
  • Quick Ratio
  • Debt to Equity Ratio
  • Current Ratio
  • Burn Rate
  • Recurring vs. Total Revenue
  • Deferred Unearned Revenue
  • Asset utilization
  • Gross Profits
  • Forecasting
Marketing
  • Cost of customer acquisition
  • SEO Traffic: Unique Visits
  • SEO Keyword Performance
  • Organic vs Paid Traffic
  • Social Media Engagement
  • Web Tracking Analysis
  • Conversion Rate
  • Customer Churn/Attrition Rate
  • Market responsiveness
  • Channel profitability index
  • Social Sentiment
  • Clickthrough rates
  • End Action Rate
  • Product Lifecycle Maturity
  • Customer Lifetime Value
Operations
  • Productivity & Operational Efficiency
  • Incident Count
  • Mean Time to Resolution (MTTR)
  • Standard Deviation/Variance of activities
  • Cost and Schedule Variance
  • Earned Value analysis of project performance
  • scope, schedule, budget, quality, resources, and risk)
  • Time to Acknowledgment/Response
  • Escalations Rate
  • Systems performance
  • Quality Control
  • Sigma Value
  • Resource utilization
  • Planned vs Emergency Maintenance
  • Level of Compliance
  • Fraud and Risk Management
Sales
  • Sales effectiveness
  • Cost-of-sales index
  • Price/performance ratio
  • Average Customer Life Time Value (LTV)
  • Sales Growth
  • Average Purchase Value
  • Average Profit Margin
Growth
  • Compound annual growth rate (CAGR)
  • Time to market (TTM)
  • Market share index
  • Customer Satisfaction
  • Quality of materials
  • User Stickiness & Engagement
  • Customer Loyalty & Retention Rate

Tools & Languages We Use

  • Hadoop
  • Spark
  • Hive
  • R
  • Python
  • MongoDB
  • NumPy
  • Riak
  • Stata
  • Julia
  • Redis
  • Neo4j
  • Cassandra
  • Pandas
  • Spotfire
  • Power BI
  • Tableau
  • MATLAB
  • RapidMiner
  • SAS
  • Scala
  • Storm
  • Java
  • Excel
  • SPSS

How Well Do You Know Your Data?

Make Your Business Data-Driven & Intuition-Driven

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The Art of Analytics Management

Balance

Is it Time for an Analytics Transformation?

  • Does your business have a supply/demand mismatch?
  • Do you have significant dependence on large amounts of personalized/customized data?
  • Is your data is siloed or fragmented?
  • Is your decision making process subject to human biases?
  • Do inefficient processes hinder business growth?

Beyond Data Analytics

  • It’s not all about data aggregation, analysis, and visualization. It’s about taking the right actions to add meaningful value to your organizations.
  • Think of using analytics to create a cyclical journey of analysis rather than a one-time initiative with a specific target.

“Not everything that can be counted counts, and not everything that counts can be counted.”

– Albert Einstein

Data Quality > Data Quantity

Analytics Empowered Organizations

Benefits

Complement Human Judgement

Humans are often prone to biases and innate limitations when making decisions. Data Analytics improves the speed, precision, consistency, and transparency in decision making.

Speed & Adaptability

Machines and algorithms respond in an instant to help make multiple pre-programmed decisions in large volumes.

Consistency & Reliability

Data analytics does not sleep, miss data points, nor make inconclusive evaluations from the same information. Predictable and dependable, Data Analytics, can help reduce costly human errors.

Create Opportunity

Data insights avail opportunities to enable the development of personalized products, dynamic pricing and cross-selling, better risk assessment, and more effective marketing

Fraud & Security

Build predictive models and what-if scenarios to use real-time data to alert and take actions to mitigate malicious activity

Enhanced Recommendation & Targeting

Use behavioral and engagement data to recommend similar products and services, customizing them to ultimately create better customer experiences

Questions?

For more information about our Business Intelligence & Analytics services, drop us a line.
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