Increasingly, IT and business executives talk about information as one of their most important assets. But few behave as if it is. Executives report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. And corporations typically exhibit greater discipline in managing and accounting for their office furniture than their data.
In this session, Mr. Laney shares insights from his best-selling book, Infonomics, about how organizations can actually treat information as an actual enterprise asset. He discusses why information both is and isn’t an asset and property, and what this means to organizations themselves and the investment community. He covers the issues of information ownership, rights, and privileges, along with alternative data challenges and opportunities, and his set of generally accepted information principles culled from other asset management disciplines.
This session is beneficial for those looking to help their organization move beyond the trite “data is an asset” or “data is the new oil” lip-service to actually begin acting that way.
How to monetize information assets in a wide variety of ways, including a number of real world examples
How to manage information as an actual asset by apply asset management principles and practices from other asset domains
How to measure information’s potential and realized value to help budget for and prove data management benefits
How classic microeconomic concepts can be applied to information for improved data architecture & management, and economic benefits
Data & Analytics Innovation Fellow, West Monroe
Jatin, Zaloni’s Director of Engineering, shares his thoughts on the importance of DataOps for achieving success-at-scale on data analytics initiatives. He advocates for a DataOps practice to drive continuous improvement along a pragmatic maturity model. The central themes are a collaborative catalog for data assets, zone-based governance for managing visibility and control across silos, and low-code automation for rapidly enabling new data use cases.
Join this session to learn about:
Standardizing governance across organizations
Automating steps in the data supply chain
Reducing costs and delivering trusted data to business users
Director Of Engineering, Zaloni
Data platforms are being deployed in cloud computing environments at a rapid pace. Cloud-native or cloud-agnostic data stores and data tools are key in the migration of data from on-premises environments to cloud environments. That’s why Zaloni partnered with MongoDB to create an innovative solution for modernizing data from on-premises relational databases to MongoDB Atlas, MongoDB's hosted database-as-a-service in the cloud. This solution allows enterprises to realize new use cases such as creating golden records for 360 degree customer views or enabling faster time to data monetization.
Join this session to learn about:
Architecting cloud environments
Optimizing DataOps in the cloud
Cloud data management success stories
SVP, WW Partners, Public Sector, Asia & ISV Sales at MongoDB
With so many buzzwords in the IT industry earning the “Ops” title - Zaloni’s VP of Engineering breaks down exactly what the differences, similarities, and benefits are between DataOps and MLOps, and how they can be used together as an integrated approach for best results. Hear from Ashwin Nayak on how automated DataOps can be used independently or alongside the collaborative practice of MLOps to drive ultimate analytics and machine learning success.
What you will learn:
Definition of DataOps and MLOps
How MLOps can be integrated in the end-to-end DataOps journey
Process and team required for successful rollout
VP of Engineering at Zaloni
Often the term "data literacy" conjures up images of upskilling the general population to be savvy information consumers and informed decision-makers. But robust data literacy programs are also for establishing a shared language for "speaking data" across a wide and varied set of roles, and unlocking radical collaboration.
Join this session to learn:
What is data literacy- really? And what is meant by "speaking data"?
Why data literacy, and why now? A convergence of disciplines, across diverse roles and backgrounds.
How to unlock radical collaboration? The 3 keys to fostering data literacy.
CEO & Founder at The Data Lodge
Organizations that modernize are able to take advantage of cloud-native technologies to enable self-service analytics and machine learning across a wide range of data assets. This ubiquitous access accelerates their pace of innovation and unlocks new business insights. However, finding useful data, auditing, and ensuring sensitive customer information is protected remains a challenge. In this session Roy Hasson discusses the need for data governance in a cloud-based data lake, what you’ll need to establish a data governance program and how AWS-native technologies like Zaloni can help you deliver on the vision of offering self-service analytics in a secure and governed manner.
Join this session to learn:
The key benefits of a data governance program
Core components of a successful data governance program
AWS-native technologies that you can use to implement a data governance program for your cloud native data lake
Principal Product Manager at AWS Glue / AWS Lake Formation
With the evolution of today’s information economy, managing and leveraging customer data is key to business success for both B2C and B2B enterprises. In order to take full advantage of real-time digital economy and artificial intelligence capabilities, customer data is at the center of automated decision making. Many enterprises struggle with managing customer data in this digital age with multiple business demands, data laws, data quality issues and complex data governance. During this session Gokula Mishra covers the key elements to getting the customer data management right.
VP of Data Science at Direct Supply
As data continues to grow and companies make the move to the cloud, many face challenges managing and governing these increasingly complex data ecosystems. The modern data management methodology, DataOps, is helping companies rethink how they manage their data by blending some of the best practices of agile software development and lean manufacturing.
During this session, Ken Kryst, Partner at PwC shares their journey of expanding collaboration through end-to-end Dataops while covering the key elements to achieving business transformation.
From this session you will learn about:
The need for DataOps
DataOps Value Equation
PwC DataOps Framework
Zaloni helps customers gain visibility and control across data silos. In this 10 minute to-the-point demo you will see Zaloni’s Arena DataOps platform in action and understand use cases for an automated and zone-based approach to data governance that accelerates analytics success.
Solutions Engineer, Zaloni
“The CDO role has risen to be at the center of power in a digital world but also has proven to be one of the most gender diverse ( …. of all tech and business roles). Today, you can find women data leaders at many companies, large and small. Combining technical expertise with deep understanding of business needs, these CDOs are conquering some of the most pressing real-world challenges with modern solutions and style,” says Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and Host of The Data Chief Podcast
Moderated by Susan Cook, Chief Executive Officer at Zaloni, watch this fireside chat, hear directly from an all-women panel of leaders in data and analytics.
Discover the priorities, investments, and organizational changes that CDOs are, and should be, making to enable data-driven success at scale.
Gail Evans, Chief Digital Officer at Mercer
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and Host of The Data Chief Podcast
Jodi Morton, Chief Data Officer at KPMG US
Please come prepared to engage these leaders with questions and discussion!
Chief Executive Officer, Zaloni
Chief Data Strategy Officer at ThoughtSpot, Host of The Data Chief Podcast
Chief Data Officer, Mercer
Chief Data Officer, KPMG US