Name: Banking, Insurance and Financial services : Getting the most out of Big Data
Start: 2021-05-04T14:02:00Z
End: 2021-05-04T14:02:20.000Z
Location: BrightTALK

Indexima delivers a powerful solution, allowing instant analytics on all your business data. 
This robust and scalable solution helps organisations to reveal the powerful insights buried within their data. Indexima queries all your data directly at source, tens of billions of lines handled in only milliseconds. This is Zero time To Data.
Whether in the cloud or on-premise the speed of the solution permits real time analysis of your sales, marketing, financial, technical and market research data.
Indexima empowers companies to achieve a higher level of performance, to become more agile and responsive as well as gaining a tighter control over IT costs.

As analytical architectures continue to grow in complexity due to new business needs, it is now imperative for organizations to design the correct architecture.

To do so, organizations are placing fast BI at the top of their priorities.

-What is the current state of analytic architectures and business needs?
-What are the technological options for automating data architecture and meeting the new requirements of analytical use cases? 
-Live Demo: Zero Time To Data - the Indexima solution

What are the expected results: FinOps, DataOps and project time

Speakers:
Sébastien Farges, CTO at @Indexima

Why and How to optimize your Datalake and Datawarehouse Architecture ?

The Ins And Outs Of The Analytics TCO 

Data, analytics, and insights investments are becoming more crucial than ever to stay ahead of uncertainty and get smarter about every aspect of the business: customers, suppliers and partners, competitors, employees, processes, operations, and markets.

How to achieve the golden number of analytics? Which tangible benefits insights-driven business companies can expect as compared to their beginner peers and competitors.
In order to ensure the digital transformation and optimization of big data analytics use cases, what are the key elements for an organization to take into account in order to be successful in its TCO calculation? What are the best practices for optimizing results?

1.First of all, the TCO of the data environment, where the Cloud seems to be establishing itself as an essential element. 
2.Then, the TCO of analytical tools, and more particularly those related to Business Intelligence solutions. 
3.Finally, we will focus on the TCO of the processes implemented within the analytics.
The TCO will thus be broken down with regard to the human cost, the capital cost and the performance cost within a Big Data analytics use case.

How to Reduce the TCO of the Cloud Analytics Platform

Telcos companies are at the heart of a new phenomenon: the one of interconnection at the global level.

And, this increase in the volume and use of data is causing new challenges for Telco but also new possibilities.

1.What are the challenges and opportunities that Telcos face?
2.How can Telcos leverage data and its exploitation?
3.What are the best practices to keep in mind to succeed in this data driven environment?

Duration: 30 minutes

Language: English

TELCOS: UNLOCK THE BENEFITS OF DATA ANALYTICS

WEBINAR:
45 MINUTES TO UNDERSTAND :
HOW TO BANK ON YOUR ARCHITECTURE AGILITY?

The immense volume of data held by companies ends up being spread out in multiple silos. These silos compartmentalize the company’s data, preventing all business teams from accessing it.

With 64.2 zettabytes of data generated in 2020, it is even more critical for companies to be able to leverage their data to ensure the sustainability of their business.

Indeed, for more than a quarter of companies, the use of analysis on their data assets allows them to make better decisions. They consider this to be one of the main benefits of their analytics.

However, this is not always easy. One of the main obstacles to proper data exploitation is the distribution of data within data silos. This compartmentalization of the company’s data assets prevents the business from being able to fully exploit the data, to the detriment of the organization’s results.

How can an organization manage its data silos? How can it be stopped?

In this webinar, you will hear from Noel Yuhanna, VP and Principal Analyst at Forrester and Florent Voignier, co-founder and CTO of Indexima, on topics such as

Perspectives on data management

– Key data challenges faced by organizations across all industries
– What are the top data management trends for 2021 and beyond?
– What data architecture to help overcome data silos?
– Best practices for business success

Navigating through data silos and leveraging Big Data analytics instantaneously:

– How to easily access different data sources and break down silos?
– How to enable the responsiveness imperative so that “Your business can be as fast as your data”?

Duration : 45 minutes

Language : English

ENDING THE CHAOS OF DATA SILOS

Instant Analytics with a Hybrid Architecture

On average, data-driven companies collect data from almost 400 different sources .
Hybrid environments can be made up of sources based in both the Cloud and on-premise. This brings performance issues at the analytics use case level, high infrastructure costs and a lack of flexibility. 
The engine in such an architecture has to be able to answer instantly to user queries, and this despite data crossing from multiple sources. 
How to optimize your use cases in instant analytics within a hybrid environment?
In this webinar, you will find : 
● How to successfully implement BI in a hybrid environment?
●	How to reduce analytics use cases’ costs?
●	Which levers to use to speed up BI queries’ response time?
●	Demo: with 3 data sources and 1 billion queries in a hybrid environment: allowing the company’s data to be accessible to everyone instantly.

Data Lakehouse: In Style or new Paradigm?

What Levers Can Business Executives Pull ?

Like a break.  The COVID-19 crisis has inevitably disrupted all corporate ecosystems, profoundly altering the biorhythm that had regulated a well-oiled economic model for years.

More than ever, data represent an indispensable component for controlling budget lines without jeopardizing innovation or the development of activities.

While limiting the effects of the crisis encourages savings, the operational continuum involves popularizing and activating data across the entire company and adjusting roles.

Key points of the webinar:

Why data is at the heart of post-COVID structural transformation?
How to leverage data as an instrument of change?
Business lines data use cases: general management, compliance, cost optimization, CX, operations, HR.
How to accelerate the return on investment?
 

Duration: 30 minutes

Language: English

ACCELERATE THE ROI OF ANALYTICS

With the massification of data, the possibilities offered by analytical tools have become critical.

What are the latest Data Analytics trends and technologies to look out for?
What are the expected benefits?
What are the best practices to keep in mind?
Duration: 20 minutes

Language: English

What Future(s) For Data Analytics?

How to accelerate the implementation of data analytics projects?

Data analysis is a very critical concept in retail because many use cases depend on it: analysis of social media, recommendation (up-sell / cross-sell), detection of fraud or optimization of the supply chain.

And, the implementation of instant analytical capabilities is an important challenge for organizations.

Key points of the webinar:

1. Trends in the retail sector
2. Data analytics use cases
3. Best practices for successful implementation

Duration: 30 minutes
Language: English

Retailers : Make your Analytics Projects come true !

Conventional BI methodology has become obsolete. It cannot keep pace as businesses demand agility, fast access to data, and fine-tuned analysis.

1. What limitations of existing models have led to a paradigm shift in business data management?

2. How does modern BI work, and what are the advantages for businesses?

3. What are the best practices for getting the most out of BI?

Duration: 15 minutes
Language: English

BUSINESS INTELLIGENCE: A NEW FIELD IN ITS OWN RIGHT?

Companies rely on their data and analytics platforms, which form the foundation of their digital innovation and transformation strategy.
However, many Hadoop on-premise users are having difficulty because of the complexity of their system, their scalable infrastructure, and the DevOps load.
•Why do businesses opt for modern, cloud-based, one-click deployable platforms?
•How to enable users, without infra skills, to implement, in one click, instant analytics in the cloud?
•Live demo / benchmark: design of a data app in just a few clicks on 5 billion rows with different options

Migrating from Hadoop to the Cloud: How to Simply Modernize Analytics Applicatio

Tableau is the industry standard for data analytics. While it is intuitive to dive deeper into the analysis by adding more and more fields, formulas, and calculations to a simple visualization, rendering can quickly become slower and slower.

In a world where expected response times fall short of a second, performance is crucial.

How to identify areas for improving the performance of dashboards and implement them?

1. How to audit a Tableau dashboard?
2. What are the fundamentals to respect?
3. Big Data use case: how to guarantee performance with large volumes of data and large joins on your tables?

Duration: 30 minutes

Language: English
Speakers: Nicolas Korchia, Co-founder & COO, Indexima and Julien Nordman, UK Director, Mydral.

Analytics Performance with Tableau - How to Optimize Your Dashboards ?

“Augmented” Data Team: What levers can Data Engineers, Data Analysts, Data Scientists and other Data team members pull?

Data-driven digital transformation and strategies have shaken up companies: processes have speeded up, roles and job functions have changed, revenue flows have considerably expanded. But one of the aspects with the most impact: it has become significantly easier to quantify operations and business.

Data and data use are the reactor core in this current environment in which Data teams are evolving. They have turned into a task force in digital companies and are used as both a driver to support business with their valuable insights and also as a direct growth lever for business and the economic model. Pressure is especially high.

What levers can Data Engineers, Data Analysts, Data Scientists and other Data team members pull?
Key points of the webinar:

•State of play of increasingly complex data environments
•How to streamline data flows and achieve value creation?
•What technologies & good practices to keep in mind?

Duration: 30 minutes
Language: English
Speakers: Nicolas Korchia, COO, Indexima

The Next New Normal for Analytics

By 2022, public cloud services will be essential for 90% of data and analytics innovation according to Gartner's Top 10 Trends in Data and Analytics for 2020.

But transitioning to a cloud-based analytics strategy and migrating your data to cloud data lakes can often seem like a daunting and expensive task if you don't know how to invest your resources wisely.

Tune in as a panel of industry experts discuss:
- Why the cloud has become an essential component of a modern analytics strategy
- Migrating your analytics program to the cloud (important considerations, best practices and potential challenges to watch out for)
- Balancing the cost of the cloud with performance outcome and how to target the right workloads to achieve significant returns
- and more!

Guest speakers include:
- Emmanuel Dubois - Co-Founder and Managing Director, Indexima
- Barney Walker - Independent Data & Analytics, Business and Technology Consultant
- Eric Topham - Co-Founder & Data Science Director, The Data Analysis Bureau 
- Ivan Scattergood - Director of Data Engineering, The Data Analysis Bureau

Cost vs. Performance: The Cloud Analytics Equation

How to differentiate using Big Data Technologies?

The amount of data generated increases dramatically and, as a result, investments to take advantage of Big Data. And, the Banking / Insurance / Financial Services sector brings together very different professions and is subject to numerous regulations.
It is therefore a question of solving the equation between a growing volume of data and a complex business environment in order to create value and thus differentiate itself from the competition.

1. How will companies in the sector be able to differentiate thanks to Big Data technologies?
2. What are the use cases?
3. Which technologies to use and which best practices to implement?

Duration: 20 minutes
Language: English

Banking, Insurance and Financial services : Getting the most out of Big Data

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Banking, Insurance and Financial services : Getting the most out of Big Data

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Indexima