Name: What Agile BI Can Do for Your Business
Start: 2022-05-11T16:00:00Z
End: 2022-05-11T16:00:53.000Z
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

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

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

Agile

Data Analysis

Data Analytics

Data Architecture

Business Intelligence

DevOps

Data Best Practices

Data Management

Data Science

Agile Data

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What Agile BI Can Do for Your Business

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