HCL’s Analytics Services: Intelligence of the future, today

HCL’s analytics practice combines the power of statistics, computer science, and visual analytics to provide best-in-class decision intelligence through a unified understanding of businesses, consumers, and the markets in which they operate. We work with clients to capture, transform, and analyze front-end and back-end datasets to reach business breakthroughs; seamlessly delivered through loosely coupled platform integration.

We bring decades of deep problem-solving expertise with a world-class team of PhDs in math and statistics to solve the problems our clients bring from every industry. Insightful, creative, and accountable solutions are at the core of everything we do. We believe that collaboration is the key to driving those solutions and ultimately our clients’ success.

Featured SolutionsHCL’s Last Mile Solution: With Alteryx and Snowflake, HCL can build and perform automated analytics on a hosted analytics database faster than ever before.

HCL’s Demand Forecasting Solution: HCL’s Demand Forecasting approach on Alteryx uses data from various sources to ensure the right products are available in the right store at the right time. Using machine learning (ML) to improve forecast accuracy has a significant impact on how companies optimize the supply chain.

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The solution brings the power of advanced analytics in hands of business users.

It allows users to access additional data sources and provides agility to extend analysis and insight in new directions.

Figure 1: HCL’s Last Mile Solution

Figure 2: HCL’s Demand Forecasting Solution

HCL’s Smart RPA Solution: With Alteryx and UIPath, HCL enables organizations to achieve end-to-end connectivity and alignment across departments in a way not possible before. Data can be extracted from various point solutions and delivered to predictive, machine learning, natural language processing (NLP), and other advanced models to inform on risk, inventory, and customer sentiment.

Our ServicesWe take a science-based approach in order to come up with e�ective solutions for our clients through advanced analytics and AI applications. Our work falls into four core services:

Data Science: Applying automated self-learning decision engines to answer business questions and solve complex problems

Advanced Analytics: Applying quantitative, qualitative, and behavioral methods to make complexity understandable and actionable

Visual Insights: Facilitating informed and rapid reaction to changes in behavior and predicting future behavior

Cloud & Big Data: Unifying omnichannel data and quantifying the value of user experiences

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ROBOTIC + ANALYTIC PROCESS AUTOMATIONUNLOCKING & ACCELERATING BUSINESS VALUEAPA AUTOMATING ANALYTIC PROCESSES & OUTCOMES

RPA AUTOMATING HIGH VOLUME TASKS

Bots collect data from non-API sources

example. Green Screen, Site Scraping,

Unstructured Docs

Validate & Cross- reference

Bots Trigger an Automatic Alteryx

Workflow

alteryx RPA AUTOMATING OUTPUT TASKS

Alteryx Automatically Triggers a Bot

Alteryx publishes to RPA and writes data out

to systems without a connector e.g., inputting data from an analytics outcome into SAP such as ‘predictive inventory’

DATA QUALITY +PREPARATION

DATA ENRICHMENT + INSIGHTS

DATA SCIENCE + DECISIONS

All sources, 80+ inputs, all data types

Drag-n-Drop Cleansing + Blending

Interactive Exploration +Visual Profiling

Inline Calculations + Transformations

Geospatial Analytics (Mapbox/TomTom)

OCR + NLP

Inline Descriptive Analytics

Consumer + Business Insights (D&B, Experian)

Code-free Data Science

Predictive Auto ML + Feature Engineering

Code-Free Predictive +Prescriptive AnalyticsModel Ops +

Governance

What should happen?

High Volume Repeatable Tasks

What is happening?

What will happen?

High Volume Repeatable Tasks

Figure 3: HCL’s Smart RPA Solution

HCL’s Analytics Maturity Matrix

The HCL + Alteryx Partnership

Success Story: Deploying Self-Service Data Analytics for a Fortune 500 Tool and Hardware Manufacturer

In 2021, HCL became an Alteryx Elite Alliance Partner and is the only Global Systems Integrator (GSI) at this partnership level. With 40+ certified professionals and counting, HCL collaborates with Alteryx to enable the Global 2000 to succeed in their analytics automation and digital transformation journeys. The collaboration is underpinned by data science-driven process automation and orchestration across distributed hybrid and multi-cloud environments.

The Challenge: A Company in Need of Data Democratization

Our client is a US-based company well known for its household hardware products and craftsman tools. The company was facing increasing di�culties from its lack of data infrastructure. With no platform-based approach, the company had no single source of truth and struggled with distributed usage and performance issues across multiple data sources. Employees used an archaic, manual process to request data analytics and faced turnaround times of 4-12 weeks to get the data they needed. The lack of data governance and data democratization was hampering business agility, while impacting important operations like regulatory reports.

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VA

LUE

OF

DA

TA

1. IDENTIFYING USE CASES 2. LIMITED PRODUCTION 3. COMPETITIVE ADVANTAGE

• Defining business use cases• Focused on BI• Exploring tools• Experimenting with languages• Training and hiring• Testing data pipelines

DATA CHALLENGES

• 15% data utilization• Understanding data• Preparing data

DATA CHALLENGES

• 70% data utilization + external• Data wrangling, ETL + data validation

DATA CHALLENGES

• 130% data utilization• Obtaining more data• Streaming data

OVERALL CHALLENGES

• Acquiring talent• Designing & building consistent

processes & pipelines• Defining business value

OVERALL CHALLENGES

• Training and Hiring• Scalability of tools & team• Cost containment• Creating ROI consistently

OVERALL CHALLENGES

• Retaining talent• Optimize, simulate, & test model

e�cacy• Staying ahead of competitors

• Working on creating e�ciencies• Mapping ML to business value• Planning growth & new use cases• Testing various languages & tools• Training and Hiring• Optimizing data pipelines

• Large data science team• ML built into product/service• Standardized on

tools/languages• Advanced ML for video, audio,

and images• Automated data pipelines

Figure 4: HCL’s Analytics Maturity Matrix

Practice Leadership

To assist with streamlined and sticky user adoption, our approach included a data science sandbox for 300+ users to experiment and evangelize the Alteryx platform ahead of enterprise-wide deployment. We also partnered with Alteryx SMEs to develop data analytics use cases including ‘What If’ scenarios for on-time shipment and deliveries, margin resilience, and more across business units, to help the client derive faster ROI.

The deployment enabled a self-service platform that was fully governed and scalable, providing trusted and consistent data sources while removing the 4-12 week data analytics request cycle in favor of on-demand data.

The Solution: Making Alteryx the Enterprise-Wide Data Platform

We worked with the client to develop an enterprise strategy to consolidate tools and position Alteryx as an enterprise-wide platform. HCL identified Alteryx as the right solution for this client. With Alteryx, we could quickly help the client:

David Sogn, VP of Analytics, HCL TechnologiesDavid is a digital transformation thought leader and data scientist with a richly diverse set of experience. His analytics career has included developing and implementing analytical and AI models at two Fortune 100 companies, building and running business intelligence and data science departments from the ground up, and running the Global Analytics Division for IBM. David now heads the global Analytics practice at HCL across all industry verticals. In this role, David uses his experience in data science, data architecture, enterprise automation and human centered design to drive analytics excellence for Global 2000 clients. David received his Bachelors from Menlo College in Palo Alto and his Masters from Cambridge University in the UK. Contact David at david.sogn@hcl.com.

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The Approach: Infusing Change Management and Data Science for User Adoption

• Democratize data science • Develop their own use cases • Move into self-service data analytics

HCL Technologies (HCL) empowers global enterprises with technology for the next decade today. HCL’sMode 1-2-3 strategy, through its deep-domain industry expertise, customer-centricity and entrepreneurialculture of ideapreneurship™ enables businesses to transform into next-gen enterprises. HCL o�ers its services and products through three lines of business - IT and Business Services (ITBS),Engineering and R&D Services (ERS), and Products & Platforms (P&P). ITBS enables global enterprises totransform their businesses through o�erings in areas of Applications, Infrastructure, Digital ProcessOperations, and next generation digital transformation solutions. ERS o�ers engineering services andsolutions in all aspects of product development and platform engineering while under P&P. HCL providesmodernized software products to global clients for their technology and industry specific requirements.Through its cutting-edge co-innovation labs, global delivery capabilities, and broad global network, HCLdelivers holistic services in various industry verticals, categorized under Financial Services, Manufacturing,Technology & Services, Telecom & Media, Retail & CPG, Life Sciences, and Healthcare and Public Services. As a leading global technology company, HCL takes pride in its diversity, social responsibility, sustainability,and education initiatives. As of 12 months ending on March 31, 2021, HCL has a consolidated revenue ofUS$ 10.17 billion and its 168,977 ideapreneurs operate out of 50 countries. For more information, visitwww.hcltech.comwww.hcltech.com

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