Data Analytics
Data Analytics allows us to extract patterns, trends and insights from data and convert them into actionable insights for our clients. New technologies enable us to access, match, and prepare data sets from diverse sources – located inside and outside the company. This combined with traditional statistics and machine learning techniques allow us to create business intelligence for compliance, forensic analysis and business improvement.
Using Data to Make Business Decisions
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Regulatory and Compliance
Comprehensive Data Analytics to assess compliance with internal and external policies relating to auditing, safety inspection, training, and federal and state regulations.
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Improving Performance
Advanced analytics modeling to evaluate and improve business decisions. Examples include labor planning, advertising, expense reduction, and asset maintenance.
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Optimizing Marketing Campaigns
Evaluate & recommend marketing strategies using data from social media to assess effectiveness of advertisements, attribution analysis and planning.
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Forensic Auditing
Machine learning techniques to detect anomalies and unusual patterns in all transaction data such as procurement card, travel & entertainment expenses, and cash disbursements – combined with non-traditional data such as vendor descriptions.
Technologies and Advanced Data Analytics Capabilities
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Statistical Analysis Using R
Regressions
Box and Whisker Plots
Outlier Detection
Distribution Analysis
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Data Cleaning & Preparation
Data Extraction – R/Python/SQL
Fuzzy & Probabilistic Text Matching
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Data Visualization
Identify Patterns and Trends
Explain Business Situations
Evaluate Business Opportunities
Conduct What-If Analysis
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Econometrics and Business Analytics
Understanding the business process behind the data
Modeling managerial decision-making
Constrained optimization
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Predictive Analytics
Neural Networks
Tree Models
Support Vector Machine
Clustering
Interim IT Management
Data Analytics
IT Systems Selection and Implementation
Cybersecurity
