Big Data and Analytics

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Technology | Big Data and Analytics

Blog Category Listing

Hybrid
682
Big Data is clearly a priority for adoption, but despite positive POCs, organizations are concerned about certain possible impediments which can be addressed by hybrid architecture. Learn about the different layers which work together to create this...
What is Marketing Automation - Platforms, Tools and Solutions
469

Oct 17, 2016

Marketing Automation De-mystified

Ravi Bansal Digital Experience Management Lead

While the impact of marketing automation is significant, most organizations have to better manage its utilization and introduce future proof solutions run by digital marketing professionals.
Analytics in supply chain
1,109
Analytics is excellently augmenting supply chain capabilities and the successful application of analytics entails proper supply chain processes and necessary IT infrastructure in place.
Multichannel
917
This blog post dwells on the challenges that make customers hesitant to embark on the SAP S/4 HANA implementation journey. It also discusses the key steps service providers need to take to alleviate current challenges and how HCL could simplify the...
Harnessing data analytics
826

Sep 16, 2016

Harnessing data analytics to enhance customer experience and reduce churn

Anil Ganjoo Corporate Vice President & Head Telecom, Media & Entertainment

This blog underlines how CSPs can use analytics tools to glean actionable insights on subscriber behavior and engagement, for personalizing products and services, and thereby, converting customers into brand ambassadors
What is stopping you to Really Know Your Customers?
790
Customers are connecting with companies digitally in all manner of ways these days and giving the opportunity of understanding customer insights using analytics. But are companies able to correctly target these customers using these solutions?
IOT
899

Sep 07, 2016

Why is it the right time to invest in IoT? Part 2 of 2

Sukamal Banerjee Corporate Vice President - ERS Sales (Hi Tech & Comm), Head - IoT WoRKS

In the second part of this two part series, we discuss the steps that organizations need to take for realizing the potential of their IoT investments
Internet of Things (IoT)
1,667

Aug 24, 2016

Why is it the right time to invest in IoT ? Part 1 of 2

Sukamal Banerjee Corporate Vice President - ERS Sales (Hi Tech & Comm), Head - IoT WoRKS

IoT investments cannot be driven by the same  use case  as point solutions alone.Organizations today cannot move ahead without defining what is the fundamental problem in their business that needs to be targeted. 
Elatic vs Solar
10,077

Jul 26, 2016

ElasticSearch Vs Solr

Anil Rawat Lead Engineer , Engineering R & D Services

In big data search , primary choices are Elasticsearch and Solr that are open source enterprise search platforms and have the ability to perform full-text searches and faceted searches. In this blog, we take a deeper look and compare these two...
Big Data
1,017
Insurance Industry is replete with Data and Big Data Analytics helps insurers determine and foresee the risks based on the Data garnered across departments and from a wide spectrum of sources viz., customer Interactions and Social media, Government...
Multichannel
917
This blog post dwells on the challenges that make customers hesitant to embark on the SAP S/4 HANA implementation journey. It also discusses the key steps service providers need to take to alleviate current challenges and how HCL could simplify the...
Big Data
304
Big Data requires massive processing and huge amount of storage. A little over a decade ago, such levels of processing and storage were only possible through the use of super computers and thus, not only required huge investments upfront, but also...
Technological Innovations
832
The life sciences industry is in a state of flux. Traditional clinical trial methods have made room for modern techniques that leverage technologies such as mHealth, AI, and machine learning.
Insight
458
Data scientists strive to deliver insights on the available data. In order to leverage the insights thus obtained, it is essential to simplify the insight-delivery framework. 
Artificial Intelligence
906
The greatest change AI will bring in healthcare is enabling clinicians to make sense of the mind-boggling amount of patient data being generated every day. Establishing concrete patterns between diverse data points will empower doctors to make...
Open Innovation
307
A new generation of users is fast emerging; a customer demographic that is pushing financial services industry to change itself exponentially at a pace never experienced before. Meet the Gen Z, the first time bankers/users who are now joining the...
Consumer Data to be the Next Payment Method
207
I was talking at the FST Conference in Sydney last year on Next Generation Customer Experience.
Data Mining
241

Apr 08, 2019

Artificial Intelligence in Tech Industry

Sandip Bhattacharya ASSOCIATE VICE PRESIDENT

There are many concepts within the domain of artificial intelligence (AI), including machine learning (ML), deep learning, neural networks, natural learning processing (NLP), virtual reality (VR), Augmented Reality (AR), LSTM, and a few others. All...

Hybrid Architecture: exploring capacities and frameworks
Nagaraj Sastry - AVP, Delivery Leader North America - BAS | December 8, 2016
682 Views

Big Data is clearly a priority for adoption, but despite positive POCs, organizations are concerned about certain possible impediments which can be addressed by hybrid architecture. Learn about the different layers which work together to create this hybrid architecture.


Marketing Automation De-mystified
Ravi Bansal - General Manager | October 17, 2016
469 Views

While the impact of marketing automation is significant, most organizations have to better manage its utilization and introduce future proof solutions run by digital marketing professionals.


Analytics –is it suitably integrated with your supply chain?
Shwetank Kulshrestha - Associate Manager - Commercial Indusrties | September 26, 2016
1109 Views

Analytics is excellently augmenting supply chain capabilities and the successful application of analytics entails proper supply chain processes and necessary IT infrastructure in place.