Name: Refine Your Data Lake Strategy for Analytics
Start: 2020-03-17T16:00:00Z
End: 2020-03-17T16:00:52.000Z
Location: BrightTALK
Rating: 0

Make smarter moves with your big data management

The Internet of Things (IoT) already encompasses billions of devices, and more are coming online every day. As these devices reach more consumers and enterprises, their value in personal and business life will only grow. Leveraging this value will be important for businesses across all sectors, in ways similar to previous digital transformation booms. 

The question then, isn’t whether the Internet of Things will be important for business, but how that importance differs across industries. Business intelligence will play a crucial role for companies in this space as they look to identify where the IoT fits into their specific business objectives. 

In this episode of Business Intelligence Report, we’ll discuss how business intelligence and analytics will be fundamental to capitalizing on the value created by the IoT. 

Topics for discussion include:
- The rapid expansion of the IoT, and what it looks like for businesses now
- The ways the IoT will shape business decisions and operations in the near future
- How business analytics can help companies maximize the value of this growing space 
- And more

The Internet of Things and its Expanding Business Footprint

Organizations are relying on increasing amounts of data to drive decisions; Gartner's "5 Key Actions for IT Leaders for Effective Decision Making" predicts that by 2025, graph technologies will be used in 80% of data and analytics to better understand their data through visual representation.
 
By combining data from multiple datasets and providing interactive visualizations, organizations can easily identify patterns and grasp concepts. Visual analytics allows organizations to interact with data visually and find hidden relationships and patterns. Join Understanding Data Through Visual Analytics with host Gowri Selka and guests to discover how visual analytics can better your organization, and what techniques and goals to set your organization for success.
 
Join us to learn more about:
- How to utilize visual analytics to learn new data patterns and valuable business insights
- Selecting the right visual analytics tool to address your business needs
- Best practices to set your organization for visual analytic success and how to avoid visualization pitfalls

Understanding Data Through Visual Analytics

Forrestor’s “The Future of Commerce Report: Retail Trends for 2022” reports that 50% of consumers purchase items because of personalization based on their interests. Today’s consumers are selective and knowledgeable, with immediate access to reviews and alternative online options just a click away. As modern consumers expect engaging and consistent personalized customer experiences across endless aisles, business intelligence solutions can help retail organizations step up to the challenge. 

As post-pandemic consumer expectations vary greatly from the past, organizations need to go beyond their boundaries of data and understand their consumer trends to develop the right products and services with seamless customer experience. Business intelligence can help organizations leverage customer-driven data from varying sources into meaningful and relevant insights. In Rethink CX: Business Intelligence Solutions for the Retail Industry, host Gowri Selka and guests will review best practices for business intelligence in the retail industry from improving customer segmentation to designing BI solutions that meets consumer needs.
 
Join us to learn:
- How BI platforms can support personalized data-driven retail solutions
- How predictive and prescriptive analytics can deliver business outcomes for retail industry 
- How to forecast future events and stay ahead of consumer market trends with business intelligence

Rethinking CX: Business Intelligence Solutions for the Retail Industry

Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand?
Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. 

Topics for discussion include the following:
• What defines agile BI today
•The most common hurdles to agile BI adoption
• The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption
•How your business can get started
•And more!

Speakers:
Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics
Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad
Kate Schiffelbein, Director of Business Intelligence at Kentik
Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart

What Agile BI Can Do for Your Business

Traditionally data had been produced and stored at multiple sources and given the high cost of
the traditional Data warehousing system, only pristine data could be used for analytics and reporting.
When a data analyst needed to derive business value from this data, he/she required communication across teams, integrations between products, and a high level of coordination to get the information they needed.

There was a clear need for a central platform, being the single source of truth for all the data and
providing quick access to the data in a self-service manner. With the advent of Big Data and Cloud
systems, the storage and compute got cheaper which means that even the raw and intermediate data can also be made available for analytics by bringing them to the central location. This led to the
evolution of Enterprise data lake within organizations. The concept of data lake has evolved from a
Hadoop-based on-premise data lake to an object-storage cloud-based data lake with compute being
provisioned only when the need arises.


Big Data and Cloud Engineering team at Abzooba has been playing a key role in helping organizations achieve their goal of digital transformation. We have been a trusted partner for our clients in their Data Modernization, Cloud Migration and Advanced Analytics journey and this has also helped us to learn some of the best practices while designing cloud-native big data solutions.


During this Webinar, following topics would be discussed

1. Best Practices of designing a data lake solution
2. Introduction to Olive and Pine, building blocks for Data Lakes
3. Demo on Olive (Data Ingestion Framework)

About Bijoy Bora: Bijoy is the SVP & Global Head, BD&C Engineering practice, Abzooba Inc. He is also a Professor of Practice, in their MS Data Science program, School of Engineering & Computer Science, University of the Pacific, San Francisco. CA. Bijoy was also the Co-founder of Zaloni Inc.

Best practices for designing a cloud-native data lake solution

Failing to protect sensitive information can put a lot of people at risk of being exploited by cybercriminals, and can make a company face enormous legal penalties.

The way information is shared and stored can put the information at risk.

It is risky to store personal information on portable devices, which are easily lost or stolen.

In addition, the consequences of a data breach can be devastating. Identity theft could lead to financial losses, and a company could face lawsuits and legal penalties.

This presentation will cover what kinds of personal information must be protected & guidelines for keeping this info safe.

After viewing this session, attendees should:
1.       Understand how Privacy is defined
2.       Highlight some of the Privacy regulations from around the globe
3.       Understand what information to safeguard
4.       Understand how these privacy regulations affect organizations that handle personal information

Data Privacy & Why it Matters

The data revolution has resulted in a seemingly endless variety of tools and techniques designed to extract insights from big data and gain a decisive competitive edge in the marketplace. Many successful organizations across major industries like Financial Services, Healthcare and Retail, now analyze the data generated by everyday business activities and use the resulting insights to inform critical business decisions.

Tune in to learn more about how industry leaders are becoming Modern BI powerhouses and get expert panelist advice on how to accelerate your own business intelligence and analytics strategy in 2019 and beyond.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

Moderator: 
Cory Minton, Founder & CEO of Big Data Beard

Panelists:
Pratik Verma, CEO of BlueTalon
William McKnight, President of McKnight Consulting Group
Rob Antczak, CTO of PowerAdvocate

Tools and Techniques to Accelerate Your Modern BI Strategy

Join this expert panel, moderated by Cory Minton (Founder of the Big Data Beard podcast), and discover the latest tools, techniques and strategies industry experts are using to effectively manage and leverage their data lakes for business intelligence and analytics use cases.

Join BrightTALK's LinkedIn Group for BI & Analytics!
- http://bit.ly/2PJlPHm

Speakers:
Moderator: Cory Minton, CEO and Founder of Big Data Beard

Panelists: 
Ramesh Menon - VP of Products for Infoworks - 
Ozzy Johnson - Deputy CTO for Domino Data Lab 
Jim Youldassis, North America Cognos Analytics Program Manager, IBM

Refine Your Data Lake Strategy for Analytics

How Design Thinking Can Improve your Data Science Workflow

Affordable Fast Big Data Analytics: What is your strategy?

Tools, Techniques and Strategies for Enterprise Data

Enterprise Data Challenges

Data Governance for Business Transformation

How to get the technology stack right for your business

If you can’t measure it, you can’t protect it: Quantifying Privacy Risk

Connecting the Dots with Alteryx

Finding Diamonds in the Data Rough

A 4 Step Data Strategy for Big Data Analytics

How Nielsen is Becoming Predictive with the Help of an Enterprise Data Catalog

Enabling Outcomes in Medical Affairs: The Role of Data-Informed Decisions

Putting the “Science” into Data Science

Advanced Analytics and the Modern Enterprise

An AI Experience Playbook for Enterprise IT

Expert Interview: How to Foster a Data-Driven Culture

Cloud Data Warehouses and Data Lakes in a Modern Data Architecture

Busting Data Lake Myths and Dragons

Keeping Your Data in Check: Data Governance Made Easy

Preparing Data for Migration

Big Data Analytics for the Enterprise 2020

Join this expert panel, moderated by Cory Minton (Founder of the Big Data Beard podcast), and discover the latest tools, techniques and strategies industry experts are using to effectively manage and leverage their data lakes for business intelligence and analytics use cases.

Speakers:
Moderator: Cory Minton, CEO and Founder of Big Data Beard

Panelists: 
Ramesh Menon - VP of Products for Infoworks - 
Ozzy Johnson - Deputy CTO for Domino Data Lab 
Jim Youldassis, North America Cognos Analytics Program Manager, IBM

Big Data

Big Data Analytics

Analytics

Machine Learning

Business Intelligence

Data Lake

Data Best Practices

Big Data Management

Data Governance

Data Analysis

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Refine Your Data Lake Strategy for Analytics

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