Is NDC (New Distribution Capability) in Airlines a norm or a phenomenon?
Explore the benefits and challenges of New Distribution Capability: goo.gl/K5n5wO
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
Data Science Training | Data Science Tutorial | Data Science Certification | ...Edureka!
This Edureka Data Science Training will help you understand what is Data Science and you will learn about different Data Science components and concepts. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial:
1. What is Data Science?
2. Job Roles in Data Science
3. Components of Data Science
4. Concepts of Statistics
5. Power of Data Visualization
6. Introduction to Machine Learning using R
7. Supervised & Unsupervised Learning
8. Classification, Clustering & Recommenders
9. Text Mining & Time Series
10. Deep Learning
To take a structured training on Data Science, you can check complete details of our Data Science Certification Training course here: https://goo.gl/OCfxP2
Examples, techniques, and lessons learned building data products over the last 3 years at LinkedIn.
Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on building data products leveraging LinkedIn's powerful identity and reputation data.
The talk describes some techniques and best practices applied to develop products like LinkedIn Skills & Endorsements.
This was the inaugural UberData Tech Talk, held in SF at Uber HQ.
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
Data Science Training | Data Science Tutorial | Data Science Certification | ...Edureka!
This Edureka Data Science Training will help you understand what is Data Science and you will learn about different Data Science components and concepts. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial:
1. What is Data Science?
2. Job Roles in Data Science
3. Components of Data Science
4. Concepts of Statistics
5. Power of Data Visualization
6. Introduction to Machine Learning using R
7. Supervised & Unsupervised Learning
8. Classification, Clustering & Recommenders
9. Text Mining & Time Series
10. Deep Learning
To take a structured training on Data Science, you can check complete details of our Data Science Certification Training course here: https://goo.gl/OCfxP2
Examples, techniques, and lessons learned building data products over the last 3 years at LinkedIn.
Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on building data products leveraging LinkedIn's powerful identity and reputation data.
The talk describes some techniques and best practices applied to develop products like LinkedIn Skills & Endorsements.
This was the inaugural UberData Tech Talk, held in SF at Uber HQ.
Data Driven Culture with Slalom's Director of AnalyticsPromotable
Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly.
Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock.
In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI.
Takeaways:
What is a data driven culture? Where does it start?
What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture
Stages of a Data Driven Culture?
How to get started?
Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting.
To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is
Scan any number of financial industry news publications, and stories regarding Wall Street’s hunger for new data sets to improve alpha abound. While this might seem like a new trend, monetizing data - or the ability to turn corporate data into revenue streams - has existed for decades. But both the supply side and the demand side have changed. On the supply side, the extreme variety of data that now exists (location-based, geospatial, socio-demographic, online search trends, pricing, etc.) combines with high computing power and new digital requirements to create a fertile data market environment. On the demand side, to remain competitive, companies in a wide variety of industries, not just the financial sector, are leveraging data in all forms to maintain an edge or be disruptive.
During this session we’ll explore what data monetization is and the forms it can take; characteristics of data that could make it more valuable to external parties; and key considerations in making data products available to external parties. Intellectual property, data privacy, and contractual issues will also be explored.
Mike Ferguson, managing director of Intelligent Business Strategies, highlights his top ten worst practices in Master Data Management (MDM) in this Information Builders webinar slideshow.
Technip Energies Italy: Planning is a graph matterNeo4j
Neo4j and Technip Energies Italy executed an Innovation Lab Sprint. The goal of the laboratory has been to frame, design and prototype the use case identified by their colleagues of Planning, Equipment and Construction disciplines, by applying Knowledge Graph technology, as the way to connect the data to gain information and insights as an immediate value, that is:
– capturing engineering deliverable milestone chain by gaining insights into a schedule
– performing reasoning on information, evidence and data
– extracting insights from data
The data economy is growing globally with more and more organization realizing their core data asset's value. Start here to understand how your company can start your data monetization strategy.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
DI&A Slides: Data Insights and Analytics FrameworksDATAVERSITY
This webinar will provide an overview of the standard architecture components needed to perform analytics and derive data insights from within each of the three common database environments. This will include the sandbox environment for initial data assessment and data science modeling, the big data environment for batch analytics that includes critical governance components and the real-time analytics environment for real-time retrieval of data, and lastly, the integration of real-time data sources.
We will also discuss:
- Components for the data scientist sandbox / lab
- Batch analytics with security and metadata
- Data pipelines
- Real-time access and streaming sources
This presentation focuses on the “Data - Big Data - Bigger Data” and the Challenges, Opportunities and Solutions from these trends.
What are the Challenges this massive data brings to the table?
What are the opportunities this data provide ?
Some solutions on how to handle this data.
From Customer Success Summit 2017 - Thomas Lah, Executive Director at TSIA discusses, "Building Customer Success Organizations".
Learn more about Customer Success Summit: http://customersuccesssummit.com
Totango is the leading enterprise- grade customer success platform that helps recurring revenue businesses proactively impact business outcomes with customer success. With solutions to empower Customer Success Teams or entire companies, Totango enables everyone to participate in customer success.
Learn more at www.totango.com.
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Slides used for a presentation to introduce the field of business analytics. Covers what BA is, how it is a part of business intelligence, and what areas make up BA.
Unlocking Smart Building Potential with the RealEstateCore OntologyMemoori
Memoori talks to Erik Wallin from Idun Real Estate discussing “Unlocking Smart Building Potential with the RealEstateCore Ontology”. RealEstateCore is an open source semantic web ontology combined with a business usefulness approach.
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Introduction to Business Analytics Part 1 published by BeamSync.
BeamSync is providing business analytics training course in Bangalore. If you are looking for analytics training then visit BeamSync. Regular classes are running during the weekend.
For details visit: http://beamsync.com/business-analytics-training-bangalore/
4 factors to consider before finalizing a Cargo Management SystemNIIT Technologies
With a gradual increase in the air cargo traffic year on year, most airlines and cargo handling companies are increasingly facing challenges in cargo management. Cargo handling has become extremely complex and unpredictable, involving multiple stakeholders with multi-warehouse operations in a multi-location environment. An efficient cargo management system can enhance service capabilities and significantly improve customer experience, while saving precious time and money, especially at the time when the industry faces an uphill battle to restore competitiveness and increase its share of trade growth.
Data Driven Culture with Slalom's Director of AnalyticsPromotable
Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly.
Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock.
In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI.
Takeaways:
What is a data driven culture? Where does it start?
What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture
Stages of a Data Driven Culture?
How to get started?
Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting.
To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is
Scan any number of financial industry news publications, and stories regarding Wall Street’s hunger for new data sets to improve alpha abound. While this might seem like a new trend, monetizing data - or the ability to turn corporate data into revenue streams - has existed for decades. But both the supply side and the demand side have changed. On the supply side, the extreme variety of data that now exists (location-based, geospatial, socio-demographic, online search trends, pricing, etc.) combines with high computing power and new digital requirements to create a fertile data market environment. On the demand side, to remain competitive, companies in a wide variety of industries, not just the financial sector, are leveraging data in all forms to maintain an edge or be disruptive.
During this session we’ll explore what data monetization is and the forms it can take; characteristics of data that could make it more valuable to external parties; and key considerations in making data products available to external parties. Intellectual property, data privacy, and contractual issues will also be explored.
Mike Ferguson, managing director of Intelligent Business Strategies, highlights his top ten worst practices in Master Data Management (MDM) in this Information Builders webinar slideshow.
Technip Energies Italy: Planning is a graph matterNeo4j
Neo4j and Technip Energies Italy executed an Innovation Lab Sprint. The goal of the laboratory has been to frame, design and prototype the use case identified by their colleagues of Planning, Equipment and Construction disciplines, by applying Knowledge Graph technology, as the way to connect the data to gain information and insights as an immediate value, that is:
– capturing engineering deliverable milestone chain by gaining insights into a schedule
– performing reasoning on information, evidence and data
– extracting insights from data
The data economy is growing globally with more and more organization realizing their core data asset's value. Start here to understand how your company can start your data monetization strategy.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
DI&A Slides: Data Insights and Analytics FrameworksDATAVERSITY
This webinar will provide an overview of the standard architecture components needed to perform analytics and derive data insights from within each of the three common database environments. This will include the sandbox environment for initial data assessment and data science modeling, the big data environment for batch analytics that includes critical governance components and the real-time analytics environment for real-time retrieval of data, and lastly, the integration of real-time data sources.
We will also discuss:
- Components for the data scientist sandbox / lab
- Batch analytics with security and metadata
- Data pipelines
- Real-time access and streaming sources
This presentation focuses on the “Data - Big Data - Bigger Data” and the Challenges, Opportunities and Solutions from these trends.
What are the Challenges this massive data brings to the table?
What are the opportunities this data provide ?
Some solutions on how to handle this data.
From Customer Success Summit 2017 - Thomas Lah, Executive Director at TSIA discusses, "Building Customer Success Organizations".
Learn more about Customer Success Summit: http://customersuccesssummit.com
Totango is the leading enterprise- grade customer success platform that helps recurring revenue businesses proactively impact business outcomes with customer success. With solutions to empower Customer Success Teams or entire companies, Totango enables everyone to participate in customer success.
Learn more at www.totango.com.
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Slides used for a presentation to introduce the field of business analytics. Covers what BA is, how it is a part of business intelligence, and what areas make up BA.
Unlocking Smart Building Potential with the RealEstateCore OntologyMemoori
Memoori talks to Erik Wallin from Idun Real Estate discussing “Unlocking Smart Building Potential with the RealEstateCore Ontology”. RealEstateCore is an open source semantic web ontology combined with a business usefulness approach.
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Introduction to Business Analytics Part 1 published by BeamSync.
BeamSync is providing business analytics training course in Bangalore. If you are looking for analytics training then visit BeamSync. Regular classes are running during the weekend.
For details visit: http://beamsync.com/business-analytics-training-bangalore/
4 factors to consider before finalizing a Cargo Management SystemNIIT Technologies
With a gradual increase in the air cargo traffic year on year, most airlines and cargo handling companies are increasingly facing challenges in cargo management. Cargo handling has become extremely complex and unpredictable, involving multiple stakeholders with multi-warehouse operations in a multi-location environment. An efficient cargo management system can enhance service capabilities and significantly improve customer experience, while saving precious time and money, especially at the time when the industry faces an uphill battle to restore competitiveness and increase its share of trade growth.
Unlock value potential from Cargo Management OperationsNIIT Technologies
Cargo Management Systems are beneficial in times where quantity of cargo and burden on infrastructure has increased. The improved cargo turnaround rate, easy integration with system landscapes and partner networks make it an effective solution.
Zoe O'Neil of ClickThrough Marketing reviews the latest innovations in Google AdWords explaining the techniques you should audit to get the best ROI from AdWords in 2016.
Data, Content & Automation at the center of your Digital Performance Marketing Activations . Your Digital Master class starts with an introduction to the Digital Marketing Landscape focusing on the prominence of embracing digital performance as a key marketing media in order to get the closest possible to your business goals. We will also cover how a coherent and efficient digital strategy can be thought to perfectly complement your global business strategy. Planning and operating digital campaigns will also be an important component of this master class followed by some key guidelines related to data and content automation. How do you define the effectiveness of your digital marketing efforts without measurement and reporting? We will end the session by answering this question and discussing some case studies along with various tips & tricks to keep you innovative and ahead of your competition.
Metrics that Wow! How Coremetrics Became the Customer Service Model of SuccessParature, from Microsoft
A customer-centric culture has never been more important to organizations than it is today, and the most successful customer service organizations have realized the criticality of the customer experience, as well as the need to make organizational changes to improve it.
But how do you facilitate an organizational shift? How do you recognize the need for change, develop a plan, determine customer & business impact, and get results? How do you achieve key support metrics such as?
:: Customer satisfaction improved to 90%
:: Agent responsiveness is up to 92%
:: Agent product knowledge grew to 91%
:: Customer loyalty jumped to 93%
This eye-opening webinar helps you to discover how organizations can reduce their cost to provide service while increasing customer satisfaction by investing in technology and implementing internal change.
Quería compartir esta presentación del nuevo producto TMC que creo que puede ser muy interesante para algunas organizaciones: Our approach to Customer Engagement.
Sabemos la cantidad de dinero invertido (o mal invertido) en actividades para incentivar a los clientes a comprar más de nuestros productos, en ocasiones para que no dejen de comprarlos y en otras para fortalecer la relación comercial. Sin embargo, la evidencia indica, como veras en la presentación, que la mayoría de estos programas, por una u otra razón, fracasan.
Este nuevo modelo, simple pero a la vez contundente, busca minimizar los factores que han generado el fracaso de la mayoría de estos programas.
Good, Better, Best: Three Ways to Calculate the ROI of CX InitiativesErin Washington
Customer Experience is at a tipping point. Despite increasing investment in measurement platforms, executives still struggle to demonstrate the impact to the bottom line—and the value these bring to customers and the organization as a whole.
Subscribed 2016: Metrics that Matter - An Operational Framework for Running Y...Zuora, Inc.
Unlike traditional financial metrics, subscription metrics are forward-looking metrics that give insight into your customer’s success as well as the health of your business. From ARR to churn, learn from best-in-class companies how your metrics can drive growth.
Check out Zuora Academy for more actionable advice for finance, marketing, tech, operations, product, and more. All the info you need to build and run an amazing subscription business: https://www.zuora.com/academy/
B2B Value - Your salespeople are leaving money on the tableClaus Aasholm
If your sales people only sell on price it is likely because they do not understand value. This slide set will help you understand what your customers value above and beyond product and service.
Navigating the changing landscape of channel partners in technology industryJoonas Järvinen
What makes us followers? How to become a game changer?
Status Quo of partner channel performance with in the technology industry.
The speed of change in the technology industry in relation to products and services is accelerating, and the distribution needs of partners are also rapidly evolving to keep up. This brings to mind a number of questions: how is the channel adapting to this change, is the channel still relevant, are the roles changing in the channel and how are vendors and partners managing this change?
Everything You Need To Know About AdWords Attribution ModelsWill Marlow Agency
In this presentation, we highlight the different attribution modeling options that are available in AdWords, and the impact that each can have on your campaigns.
Service Profits and Raving Customers: The CFO's Agenda in 2013ServiceMax
See what CFOs are looking for from their service organizations in this webinar featuring Aly Pinder of Aberdeen Group and Rick Gustafson, CFO of ServiceMax
Similar to New Distribution Capability benefits and challenges (20)
Q2 Highlights:
Revenues grew 19% YonY and 8.2% QonQ
Profit after taxes were up 12.2% YonY and 17.0% QonQ
Order intake of US$ 176 mn, marking the 10th consecutive quarter of sequential increase in order intake
The Board recommends an interim dividend of Rs 10 per share as interim dividend. The record date for this payout will be 5th November 2019.
Consolidated revenues for the quarter under review grew 19.0% over the same period last year and 8.2% sequentially over the preceding quarter to Rs 1038.5 crore. EBITDA margin for the quarter expanded to 18.3%, up 118 basis points QoQ.
Among verticals, Insurance grew 15.3% QonQ contributing 31.1% of overall revenues, BFS expanded 9.4% QonQ contributing to 16.7% of revenue, and Travel Transport and Hospitality (TTH) was up 5.8% QonQ contributing to 27.8% of revenue. Other segments collectively grew 0.8% QonQ and they now represent 24.4% of overall revenues.
Digital revenues grew by 56% YoY and 18% QoQ, contributing to 38% of the total revenues in the quarter under review. Americas, EMEA, APAC and India contributed 49%, 37%, 10% and 4% of the revenue mix.
Fresh business of US$176mn was secured by the company during the quarter. As a result, the order book executable over the next twelve months has also increased to US$405mn.
“We have delivered robust revenue and margin performance yet again in line with our stated intent to drive robust, predictable and profitable growth for our business. The fundamentals of the business continue to be strong, as reflected in the sustained deal wins and the operating margin threshold that we have established,” said Mr. Sudhir Singh, Chief Executive Officer, NIIT Technologies Ltd.
Acknowledgements:
A TBR Perspective on Transform at the intersect - NIIT Technologies and the near future of Digital and Post-digital Transformation
A special blog by NelsonHall on how NIIT Technologies Delivers Digital Transformation with Capacity & Capability at Speed and Scale
HfS Research PoV on Change the game with verticalized AI: NIIT Technologies’ unique play as a post-digital firm
Q1 Highlights:
Revenues grew 16.7% YoY.
Profit after taxes up 2.0% YoY on reported basis, up 17.3% YoY after adjusting for non-recurring expenses.
Order intake of US$ 175 mn, marking the 9th consecutive quarter of sequential increase in order intake.
The quarter under review had one-time non-recurring expenses of Rs. 235 mn translating to a negative impact of 240 bps. Adjusted for that, the EBITDA margin for the quarter stood at 16.9%, an expansion of 103 basis points YoY, and PAT increased 17.3% YoY to Rs 100.6 crore.
In constant currency terms, BFS expanded 2.8% QoQ contributing to 16.5% of revenue, Travel & Transportation (TT) was up 5.9% QoQ contributing to 28.3% of revenue and Insurance grew 6.6% QoQ contributing 29.1% of overall revenues. Others segments collectively grew 1.5% QoQ and they now represent 27.0% of overall revenues.
Digital revenues grew 46% YoY contributing to 34% of the total revenues. Americas, EMEA, APAC and India contributed 49%, 35%, 11% and 5% of the revenue mix.
The Company secured fresh business of US$175mn during the quarter. The order executable over the next twelve months has also increased to US$395mn.
“We registered a good performance in Q1FY20 and the fundamentals of the business are strong,” said Mr. Sudhir Singh, Chief Executive Officer, NIIT Technologies Ltd.
Acknowledgements:
NIIT Technologies ranked #1 in ‘Business Understanding’ for the second consecutive year in ‘Whitelane’s 2019 UK IT Sourcing Study’.
NIIT Technologies named as a Leader among midsize agile software development service providers, by Forrester Research Inc., an independent research and advisory firm, in their report, The Forrester WaveTM: Midsize Agile Software Development Service Providers, Q2 2019.
NIIT Technologies companies Incessant Technologies and RuleTek received Pega Partner Award 2019 for ‘Excellence in Growth and Delivery’.
FY’19 Key Highlights
• Revenues expand 22.9%
• Operating profit up 28.7%
• Operating margin improved 80 bps to 17.6%
• Net Profits improved by 43.9%
• Cumulative order intake for the year is USD 646 MN. Up 27% over previous year
FY’19 Geo mix
Americas- 49%
EMEA-33%
India-8%
APAC- 10%
FY’19 Industry mix
Insurance- 28.7%
BFS- 16.1%
Travel & Transportation- 26.9%
Leadership Speaks
“FY 19 was one of the most successful years in our firm’s history. Not only did we deliver very significant growth but we also increased operating margin simultaneously. Our strategy of transforming the three industries we serve at their intersection with emerging technologies continues to differentiate and drive growth.”
Mr. Sudhir Singh, Chief Executive Officer, NIIT Technologies Ltd.
“The year was characterized by strong deal momentum. Order intake improved steadily in each quarter with large deal wins and new logo additions. USD 170 m of fresh business was secured during the quarter”.
Mr. Arvind Thakur, Vice Chairman and Managing Director, NIIT Technologies Ltd.
“With strong leadership in place, the platform is set for our next phase of growth”.
Mr. Rajendra S Pawar, Chairman, NIIT Technologies Ltd.
Acknowledgements
• Recognized in the Best of The Global Outsourcing 100® list produced by IAOP
• Positioned as a Leader in the NelsonHall NEAT Report for RPA & AI in Banking 2019
Q2 FY19 PAT up 66.3% YoY
Q2 Highlights:
• Revenues up 23.1% YoY and 10.0% QoQ
• Strong improvement in Operating Profits, by 37.2% YoY and 25.1% QoQ
• Operating Margins expand by 186 bps YoY and 217 bps QoQ
• Fresh Order Intake expands to USD 160 Mn
NIIT Technologies delivers robust 145% growth in PAT for FY’16NIIT Technologies
NIIT Technologies Limited, a leading global IT solutions organization, announced its financial results for the year FY15-16 resulting in revenues of `2,682 Crores, operating profits at `473 Crores and net profits at `280 Crores.
Social Media is the new brand advocate for every brand for whom connecting with customer, in the right way and at the right time, is of high priority. The Airline industry falls into this category for whom the customer makes their brand go around. This paper gives you a glimpse of how Social Media helps airlines build the path to customer intimacy
Supply chains are no longer just about moving material
from one point to another – they are now about
delivering a moving experience. This experience
determines brand perception and is becoming critical
to success in the market.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
New Distribution Capability benefits and challenges
1. NDC: A norm or
a phenomenon?
Business Class
Traveller
wifi Inflight meal Lounge Baggage Leg space Economy
Economy Class
Traveller
Leisure
Traveller
2013
2014
2015
2017
When Do you think NDC will be a
norm in the industry, rather a
new phenomenon?
60.98 %
31.7%
7.4%
Three to four years from now
In the next 18 - 24 months
In the next 12 months
New Distribution Capability
Benefits and Challenges
NDC Implementation Challenges
PSS upgradation
Performance and Scale
Most critical
challenge for
implementation
of NDC
Benefits realized
from NDC
Changes to PSS systems needed
to support NDC
Performance and scale to be able
to handle agent requests
Generating personalized offers
Limited merchandizing capabilities
Product innovation across direct/
indirect channels
Additional revenue by enhanced
offering/ancillaries
Reduced distribution dependence
Customer recognition and brand
stickiness
Inability to personalize offers
Airlines.com
$ 112
$ 156
$ 211
? ?
?
Benefits of NDC
Product Innovation
Airlines.com
Airlines.com
schedule
Additional Revenue
Enhance Customer Care
wifi Inflight meal Lounge
RR Airways .. $ 172
SS Airlines .. $ 165
Baggage Leg space
Frequent flyer Business traveller
Airways.com
63.2%
27.6%
6.2%
3%
51.4%
25%
17.4%
6.2%
www.niit-tech.com