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Decoding Decision Intelligence: Frameworks and Technologies

In the quest to modernize the way they think about making decisions, organizations are turning to AI and automation wherever possible. AI models can help with creating predictions and labels, but to get deeper insights on the meaning behind the data, organizations are starting to embrace decision intelligence.

Discover how businesses can use decision intelligence to create strong decision models for their processes and how to map actions to outcomes.

Learn about the decision intelligence framework and hear from the experts on what DI can mean for your business. Viewers will hear more about:
- The impact of the pandemic on the quality of decisions made, especially in the context of business
- The emergence of decision intelligence
- How DI differs from AI 
- Eliminating errors and biases when making a decision
- Decision intelligence for critical business moments
- How data and analytics leaders can leverage DI to design, model, align, execute, monitor, and tune decision models and processes in the context of business outcomes and behavior

Moderator: Eric Topham - CEO & Co-Founder, The Data Analysis Bureau
Panelist: Peter Bailis - CEO at Sisu Data
Panelist: Bipin Chadha - VP Data Science at CSAA Insurance Group
Panelist: Pragyan Nayak - Chief Data Scientist at Hitachi Vantara Federal

This episode is part of The Business Intelligence Report original series with Eric Topham, Co-Founder & Data Science Director at The Data Analysis Bureau. We welcome viewer participation and questions during this interactive panel session.
Recorded Apr 20 2021 63 mins
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Presented by
Eric Topham, The Data Analysis Bureau, Peter Bailis, Sisu Data, Pragyan Nayak, Hitachi, Bipin Chadha, CSAA
Presentation preview: Decoding Decision Intelligence: Frameworks and Technologies

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  • Data & Analytics 2021, Part 2: Evolving Trends & What’s Next Recorded: Sep 22 2021 62 mins
    Eric Topham | Dr. Sue Tripathi | Berit Hoffmann | Kiara Thomas
    Gartner predicts that “by 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling”. Over the course of the history-making 2020-21 period, data analytics has evolved together with AI to produce more accurate predictions and educated suggestions. Join Eric Topham alongside a panel of industry experts and thought leaders for part two of our Business Intelligence Report episode “Data Analytics 2021: Defining Trends and Trajectories,” where we will continue our exploration of the ways data and analytics are transforming human-machine relationships and what’s next on the horizon.

    This sequel episode, “Data & Analytics 2021, Part 2: Evolving Trends & What’s Next,” will look at evolving data and analytics trends over the course of 2021, including expectations versus realities in these unprecedented times. Topics to be covered during this session include:

    -How data collection and usage is continuing to pivot due to effects of the COVID-19 pandemic
    -Which data & analytics practices have proved most relevant in 2021—and which have been rendered obsolete
    -Updates on emerging data visualization techniques, building data narratives, using external data, evolving data dashboards & more
    -Next-gen enterprise tech and tools when it comes to leveraging data & analytics that drive success
    -And more

    Speakers:
    - Eric Topham, CEO & Co-Founder at The Data Analysis Bureau
    - Dr. Sue Tripathi, Managing Director, Data and Analytics, Global Services at NTT DATA
    - Berit Hoffmann, Chief Product Officer at Sisu
    - Kiara Thomas, Chief Executive Officer at Quality Resolution Systems
  • Bridging the Decision Gap — What's Next in Analytics? Recorded: Sep 9 2021 38 mins
    Peter Bailis, Sisu CEO and Joel McKelvey, Sisu VP of Product Marketing
    With more data available than ever before, data teams need better ways to diagnose changing metrics and enable business stakeholders with fast, actionable insights. Yet, despite massive investment in data and analytics, business users still lack the context to make sense of the insights they receive from analysts.

    Join Sisu CEO, Peter Bailis, and VP of Product Marketing, Joel McKelvey as they dive into these recent developments in the collection and analysis of data. Attendees will learn how to move beyond simply reporting on metrics to revealing the key factors that drive changing metrics. The speakers will discuss the importance of composability, automation, contextualization, and augmentation in key factor analysis and address some of the findings in the May 2021 Gartner® Cool VendorsTM in Analytics and Data Science report.

    Gartner Cool Vendors in Analytics and Data Science, Julian Sun, David Pidsley, Shubhangi Vashisth, James Richardson, May 10, 2021
  • How to build a data-driven company Recorded: Aug 19 2021 39 mins
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    Whether you’re at an enterprise tech giant or grassroots startup, building a data-driven foundation is crucial for a business. So, where do you start?

    In this on-demand webinar, Rehgan Avon, CEO of Women in Analytics discusses last month's WIA Conference. She shares the special fireside chat where Falon Donohue, Partner at Narya VC, interviewed Berit Hoffmann, Sisu Chief Product Officer. They discuss what it takes to build a data-driven company and address a number of thought provoking audience questions.

    Watch this session to learn:
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  • How Fractory found the path to repeatable growth Recorded: Aug 12 2021 45 mins
    Heikki Tilk, Fractory & Nate Nunta, Sisu
    Finding the factors or combinations of factors driving repeatable business is critical for building a successful new business.

    Join Sisu and Heikki Tilk, VP of Demand Marketing and Marketing Operations of Fractory on Thursday, August 13th at 10:00 am PT / 1:00 pm ET to find out how why Fractory turned to Sisu to get a complete view of the drivers of their manufacturing platform and identify where to act to drive repeatable business.
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    Organizations everywhere are racing to generate, collect, and leverage tremendous amounts of data. Which can often lead to a talent war between companies to hire data analysts or data scientists to help tame their data and extract valuable insights.

    But what if we told you that the real issue is not whether to hire analysts or scientists? Rather it's how to augment the work of both functions so results can be created instantly in a digestible format that doesn't require experts to translate.

    Join us for a live webinar on Thursday, July 15th at 10:00 am PT / 1:00 pm ET where our analytics experts will discuss how adopting augmented analytics will unlock faster and more comprehensive insights from the data you’re collecting.

    In this webinar, you’ll explore:
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  • Accelerate data exploration with a new Sisu Recorded: Jul 8 2021 44 mins
    Grant Shirk, VP of Product Marketing & Nate Nunta, Director, Services + Solutions Architecture
    Meet the completely new Sisu, purpose-built to accelerate data analysis and decision-making. It’s the fastest way for teams to comprehensively explore highly dimensional data and answer questions about metric performance.

    Join Sisu’s product and analytics experts will deep dive into the research behind the new platform, discuss four new ways Sisu accelerates data exploration, and demonstrate the capabilities of our augmented intelligence solution.

    In this lively, interactive discussion, you’ll learn:

    — Why traditional BI tools hinder cloud-scale data exploration
    — How Sisu uses machine learning and augmented data exploration to prioritize your attention on the subpopulations in your data that matter
    — New ways to quickly drill down and answer ad hoc questions on your changing business metrics
  • Explore, explain, and showcase data with Sisu’s new Smart Waterfall Charts Recorded: Jun 17 2021 44 mins
    Gaurav Saraf, Product Manager
    Meet Sisu’s Smart Waterfall Charts, an industry-first, one-of-a-kind combination of data exploration and storytelling.

    The ever-increasing size and complexity of cloud data magnifies the primary challenge analysts face: quickly delivering the right information to the right person at the right time. Sisu’s new Smart Waterfall Charts address this challenge head-on by helping every analyst rapidly find the factors that matter in their complex data and then effectively synthesize, visualize, and share them.

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    In this lively, interactive discussion, you’ll learn:


    — Why legacy BI tools hinder building fast, iterative waterfall charts.
    — How Sisu Smart Waterfall Charts automatically surfaces a sequence of populations, bridging multiple features, that are having the biggest impact on a metric.
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    Peter Bailis, CEO & Berit Hoffman, VP of Product
    To compete in today’s dynamic startup environment, leaders know they need to seize any opportunity to use data about the current performance of their business to make informed decisions about their product, strategy, and business as a whole. Moreover, cloud warehouses and new SaaS-optimized data stack bring together more data about end-to-end customer experience from acquisition to engagement to renewal.

    But while it’s a trope that data-driven culture of decision-making is critical to a business, many companies are still making some of their most important decisions based on gut-feeling alone. Join this webinar to learn the five data habits you must avoid and how to start using all your data to inform decisions in real-time.
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    Ramesh Dontha, DX Pro | Sid Sharma, Sisu Data | Fred Tabsharani, Loxz Digital Group |
    AI has been a hot topic for quite some time now, with much debate around how AI can transform certain industries and solve challenges. But one topic that hasn’t been as closely addressed is how AI is transforming technology - particularly, Cloud computing.

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    Join us to hear:

    - How AI is transforming Cloud computing
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    Sid Sharma, Analytics Evangelist, Sisu Data
    Fred Tabsharani, Founding Member, Loxz Digital Group
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    Grant Shirk and Kendall Garey
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    Eric Topham, The Data Analysis Bureau, Peter Bailis, Sisu Data, Pragyan Nayak, Hitachi, Bipin Chadha, CSAA
    In the quest to modernize the way they think about making decisions, organizations are turning to AI and automation wherever possible. AI models can help with creating predictions and labels, but to get deeper insights on the meaning behind the data, organizations are starting to embrace decision intelligence.

    Discover how businesses can use decision intelligence to create strong decision models for their processes and how to map actions to outcomes.

    Learn about the decision intelligence framework and hear from the experts on what DI can mean for your business. Viewers will hear more about:
    - The impact of the pandemic on the quality of decisions made, especially in the context of business
    - The emergence of decision intelligence
    - How DI differs from AI 
    - Eliminating errors and biases when making a decision
    - Decision intelligence for critical business moments
    - How data and analytics leaders can leverage DI to design, model, align, execute, monitor, and tune decision models and processes in the context of business outcomes and behavior

    Moderator: Eric Topham - CEO & Co-Founder, The Data Analysis Bureau
    Panelist: Peter Bailis - CEO at Sisu Data
    Panelist: Bipin Chadha - VP Data Science at CSAA Insurance Group
    Panelist: Pragyan Nayak - Chief Data Scientist at Hitachi Vantara Federal

    This episode is part of The Business Intelligence Report original series with Eric Topham, Co-Founder & Data Science Director at The Data Analysis Bureau. We welcome viewer participation and questions during this interactive panel session.
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    Watch this on-demand webinar to understand:

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    In a follow up discussion to his widely-read article on the next evolution of data workflows for Data Analyst 3.0, Sid joins Danielle Leong from Teachers Pay Teachers and Natalie Kwong at Harness for a fireside chat. Join the conversation as they discuss this new phase of data analytics and share their take on three major data trends that will dominate 2020 and beyond:

    1. The Emergence of the Analytics Engineer

    2. A Return to SQL (especially for data modeling)

    3. The Need for Augmented Analytics tools.
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    Hear Peter Bailis of Sisu and Jad Naous of Imply discuss their experiences helping companies transition to a data-driven culture, accelerating their ability to capture, use, and analyze fast-moving data. Access the on-demand webinar today.
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    Listen on-demand to this virtual fireside chat with three analytics leaders from GitLab, Fishtown Analytics, and WordPress.com on how we can make analytics collaborative, successful, and remote-friendly.
Accelerate Data Exploration
Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit www.sisudata.com.

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  • Live at: Apr 20 2021 4:00 pm
  • Presented by: Eric Topham, The Data Analysis Bureau, Peter Bailis, Sisu Data, Pragyan Nayak, Hitachi, Bipin Chadha, CSAA
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