NLB Analytics Overview

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


Analytics Services


Descriptive

Predictive

Prescriptive

Big Data

End to End Capabilities


Approach To Predictive Analytics


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


• 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


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

ety

Che

ckIn

puts

Das

hboa

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Use Case : Safety KPIs


Dashboard

Sample Profiles


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/

Data & Analytics

NLB Analytics Overview