nlb analytics overview
TRANSCRIPT
NLB Analytics Overview
May 2017
Corporate Overview
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NLB is a fast growing technology, analytics and advisory services company with a mission of helping our clients by bringing talent, framework and cost efficiency to the table
We bring best practices successfully deployed in Fortune 1000 companies to help our clients innovate and develop efficient processes resulting measurable business impacts
Founded in 2007, we have 1500+ project resources in US & Canada with a global back-office supporting client projects
External Resourcing Transformation
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Advisory Services
Vendor Environment
Implementation
Staff Augmentation
Analytics, Process
Re-engineeringand IT
Cost and savings strategies throughout External Resourcing environment (professional and cloud services, software, hardware, telecom)
Insourcing, Outsourcing, Right Sourcing evaluation coupled with captive strategy justification
Establishing and Optimizing Vendor Management Function
Vendor Management Organization benchmarking across any domain
Implementation of Governance and Change Management programs
Negotiate vendor IT cost reductions
Vendor environment optimization, specializing in vendor consolidation and rationalization
Compare current process with industry best practices, develop playbook for future process implementation for supply chain, financial, manufacturing and HR domains
Data analysis and segmentation to identify root causes; develop and implement predictive models and rationalization
Packaged apps, BI, and Cloud implementation
Technology based proprietary talent database and candidate assessment solution
Transparency of cost structure
Packaged apps, BI, Cloud & Digital techologies Knowledge Management Client boot camps to prepare for projects
Analytics Practice
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Analytics Services
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Descriptive
Predictive
Prescriptive
Big Data
End to End Capabilities
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Approach To Predictive Analytics
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Identify likelihood of future events and behavior
Generate insights that drive business outcomes, more optimized results, quantified economic value and a more frictionless customer experience
DetectionDetection AdoptionAdoption
ActionAction
Identify business rules that are intuitive enough to be adopted, accelerate learning and be embedded in the client’s business culture, programs and systems
Use Case : Order Dispatch
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• 9% of the orders are 18X times more likely to fail.
• 18X failure rate can translate into greater than 18X work load!
• Increased opportunity to drive improvement, starting with Disengaged Segment
• Embedded in the client’s system
Three Segments: Disengaged, UnderServed, InSync Three Segments: Disengaged, UnderServed, InSync
Client: $60B Cable Service Provider
Use Case : Safety KPIs
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Client: Steel Manufacturing Conglomerate
1. Number of visits2. Number of observations3. Priority of care taken4. Sum of Status per observation, per visit5. Sum of status across the dimensions of
observations, visits, shops per time period and priority
Post action analytics to measure the result of the safety pre-emptive action
Saf
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Che
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puts
Das
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Use Case : Safety KPIs
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Dashboard
Sample Profiles
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Lead Data Scientist
Physicist and Data Scientist with about 18 years of research and work experience Published over 40 papers in Statistical Physics, Biomechanics, Physiology and Public Health Developed techniques and algorithms for multi-scale computational methods Lectured and mentored graduate students on data science and nonlinear dynamics in Boston
University Managed professional teams both in academic and industry settings Participated and consulted in a wide variety of projects focused on the application of Data
Science and Operations Research for 10+ years
Data Scientist
Skilled at advanced analytics, statistical modeling/multivariate data analysis methods to produce actionable insights enabling clients proactively design viable business plans
Well versed with SPSS, SAS (EG), SAS Miner, BrandMap, MS Excel, MS PowerPoint and online survey tools like Kinesis. Vovici EFM
7+ years of data analytics experience of leading and completing large-scale high-value analytical research projects from concept formulation to delivery. This includes determination of appropriate statistical methodology, data manipulation, research evaluation, modeling and final research report.
Graduate degree with major focus on data analytics & statistics
Thank you!
Kevin L. DingleDirector – Client Partner | 704 326 - 1838
Email: [email protected]
Li: https://www.linkedin.com/in/kevindingle/