Governance of the Big Data Lake with a focus on RDARR for Financial Services

As data ecosystems become more complex with numerous data sources and asset types, implementing proper data governance best practices is crucial to ensuring security and regulatory compliance. Unified, end-to-end data governance allows organizations to extract value from the data sets collected, providing clean, accurate data that provide organizations with the opportunity to develop new data products, enable AI and ML initiatives, and make data-driven business decisions.

In this webinar, take a deep dive into data governance best practices using a DataOps approach with Zaloni's Chief Product Officer and Founder, Ben Sharma, alongside Venk Dakshin, Senior Director, Enterprise Applications and Architecture at Alexion Pharmaceuticals. Attendees will learn where their organization falls within the DataOps maturity model, a model that shows the stages of DataOps maturity and how to progress through each stage, and hear about Alexion's data governance journey with Zaloni, discussing specific use cases and data governance best practices they have successfully implemented within their organization.

In this webinar, you will learn:
- Leveraging a zone-based architecture and DataOps to efficiently deliver trusted data
- Pinpointing where your organization lies within Zaloni’s DataOps Maturity Model
- Data governance best practices to ensure compliance and standardization across complex data ecosystems with considerations for multi-cloud and hybrid environments

Reducing time to analytics insight is a common goal for today’s organizations, but many face challenges due to data sprawl, migration to the cloud, and lack of enterprise-wide governance.

Join Zaloni data experts in this webinar to learn:
- Modern DataOps processes that quickly reduce data costs
- How to achieve end-to-end visibility and control of your data supply chain
- Enabling cross-team collaboration to improve data quality and analytics insights

Presenter Bio:
Cody Rich is a Solutions Engineer at Zaloni, specializing in enterprise software and solutions sales within Data and Analytics. You may recognize him from previous leadership roles at MetiStream and QGenda.

As companies transition to hybrid, cloud, or multi-cloud environments, many face challenges managing data across their increasingly complex data environments, resulting in a lack of visibility and control and ultimately increased cloud costs. By leveraging elastic compute and a DataOps approach to data management, you can manage, govern, and optimize your data pipelines to reduce costs and accelerate time to analytics.

Join Faisal Zafar, Zaloni’s Director of Global Professional Services as he covers how leveraging elastic compute and DataOps can help organizations manage and govern their cloud data environments efficiently and cost-effectively to support data initiatives that drive business value. In this webinar you’ll learn:

- Benefits of Platform as a Service vs. Infrastructure as a Service in the cloud
- How to overcome challenges processing data in the cloud with elastic compute
- Elastic compute solutions for Azure and AWS
- Leveraging DataOps approach for cloud optimization

DataOps is an emerging methodology for building and automating data pipe-lines. Drawing from DevOps and agile approaches to software development, DataOps focuses on four key pillars: continuous integration and deployment (CI/CD), orchestration, testing, and monitoring. It promises to accelerate project times, decrease errors, reduce costs, and improve customer satisfaction. But how do you get started?

This webinar will explore the ten steps to building a complete DataOps strategy. These steps address both organizational and technical aspects and span the people, processes, and technologies the make up the modern data work-flow. You will leave with a clearer understanding of what DataOps can do for your business and a roadmap for implementing the methodology.

In this webinar, you will learn:
- The benefits of the DataOps methodology
- The essential pillars that make up DataOps
- The steps to building a complete DataOps strategy

A Modern Data Architecture for Analytics and Governance Scalability

Many companies are undergoing data architecture transformations as they modernize to meet new data and analytics use cases. Still, many face challenges with data sprawl, ensuring data security, and providing self-service access to end-users.

Join Tigo's Big Data Analytics and IT Manager, Monica Rojas, as she discusses how Tigo’s modern data architecture and DataOps approach enabled them to overcome their data challenges and achieve analytics and governance use cases such as customer 360, regulatory compliance, and streaming data sets. During the webinar, you’ll learn how Tigo designed and built their agile data architecture and how they’ve been able to expand into new use cases that drive business value.

Topics Include:
- Building a scalable, modern data architecture
- Reducing risk with a zone-based governance model
- Achieving value through use case acceleration

As companies transition to hybrid, cloud, or multi-cloud environments, many face challenges managing data across their increasingly complex data environments, resulting in a lack of visibility and control and ultimately increased cloud costs. By leveraging elastic compute and a DataOps approach to data management, you can manage, govern, and optimize your data pipelines to reduce costs and accelerate time to analytics.

Join Faisal Zafar, Zaloni’s Director of Global Professional Services as he covers how leveraging elastic compute and DataOps can help organizations manage and govern their cloud data environments efficiently and cost-effectively to support data initiatives that drive business value. In this webinar you’ll learn:

- Benefits of Platform as a Service vs. Infrastructure as a Service in the cloud
- How to overcome challenges processing data in the cloud with elastic compute
- Elastic compute solutions for Azure and AWS
- Leveraging DataOps approach for cloud optimization

Join Zaloni's Solution Engineers for a brief, no-strings-attached demo of the Arena DataOps platform. During this demo, you will see:

- A day in the life of your data pipeline when streamlined and optimized by Arena
- A high-level overview of the most popular Arena features
- Examples of how our customers use Arena to solve their biggest data challenges

No sales pitch. No marketing fluff. Just a straight-forward, interactive DataOps demo.

Modernizing your data architecture is the golden ticket to digital transformation. How do companies achieve better AI/ML outcomes and improved time to analytics while dealing with data sprawl and increasingly complex data ecosystems? Enter a zone-based data architecture intertwined with a DataOps management approach to deliver governed data pipelines and control at each step of the data supply chain.

Optimized DataOps improves visibility and control across the data supply chain while expanding agility and extensibility for better end-to-end data management. The zone-based architectural approach standardizes security at each step. DataOps improves efficiency, reduces costs, and accelerates time to insight resulting in improved analytics, AI, and ML outcomes.

For this webinar, join Zaloni's Chief Product Officer and industry pioneer of the zone-based data architecture, Ben Sharma. Learn about Ben's firsthand experience and lessons learned from the field, along with his recommendations on essential data management, operations, and governance best practices.


Topics Included:
- A recommended zone-based reference architecture
- Standardizing data governance
- Considerations for hybrid and multi-cloud environments

Applying a DataOps approach to data management.

A Modern Data Architecture for Analytics and Governance Scalability

Many companies are undergoing data architecture transformations as they modernize to meet new data and analytics use cases. Still, many face challenges with data sprawl, ensuring data security, and providing self-service access to end-users.

Join Tigo's Big Data Analytics and IT Manager, Monica Rojas, as she discusses how Tigo’s modern data architecture and DataOps approach enabled them to overcome their data challenges and achieve analytics and governance use cases such as customer 360, regulatory compliance, and streaming data sets. During the webinar, you’ll learn how Tigo designed and built their agile data architecture and how they’ve been able to expand into new use cases that drive business value.

Topics Include:
- Building a scalable, modern data architecture
- Reducing risk with a zone-based governance model
- Achieving value through use case acceleration

UPDATE: Join us for the 2021 event on August 25! Register here: https://www.zaloni.com/dataops-virtual-event-second-annual/

Reduce Costs; Accelerate Analytics

Reducing time to analytics insight is a common goal for today’s organizations, but many face challenges due to data sprawl, migration to the cloud, and lack of enterprise-wide governance.

Join Zaloni data experts in this webinar to learn:
- Modern DataOps processes that quickly reduce data costs
- How to achieve end-to-end visibility and control of your data supply chain
- Enabling cross-team collaboration to improve data quality and analytics insights

Presenter Bio:
Cody Rich is a Solutions Engineer at Zaloni, specializing in enterprise software and solutions sales within Data and Analytics. You may recognize him from previous leadership roles at MetiStream and QGenda.

Abstract
Agility in data operations is always essential for business innovation, revenue growth and improving the customer experience. But in a time of crisis like the world is facing now, data management pipelines must be able to quickly pivot to recognize new sources of information in non-standard file formats, and without the added burden of hiring large teams.

On March 26, 2020, Gartner polled more than 400 IT leaders to understand their top actions for controlling costs amid the COVID-19 crisis. The number one action (besides cutting back on travel and hiring) is increasing the use of automation and other advanced IT tools.*

Streamlining your DataOps pipeline through a platform with automated workflows to ingest, catalog, and provision time-sensitive information, gives enterprises the agility, self-service access, and scale in the cloud needed to quickly respond while delivering a better customer experience.

The value your organization delivers is critical. Whether you are faced with processing patient data, executing government relief programs, or securing your supply chain, your analysts need real-time access to trusted data to make fast decisions that have a big impact.

Attend this webinar to understand real-world examples from companies on the forefront of fighting the COVID-19 crisis, and learn how to be DataOps ready for whatever comes your way.

*Source: Gartner Q1 Emerging Risks Webinar

Who Should Attend This Webinar
IT decision makers and those responsible for enterprise data management.

You’ll Learn Data Management Strategies for:
- Data acceleration for faster actionable insights
- Better resource utilization
- Risk reduction
- Transparent communication and collaboration

A common obstacle for a successful customer 360 initiative is attributed to data sprawl and siloed data, which compromises data quality. Bremer Bank has addressed this problem by transforming their organization and data operations to be more customer centric. In this webinar, you will learn how Bremer Bank unified data across multiple business units and third party sources to build golden records in a governed and secure way. By first building a “nucleus” of customer data, Bremer Bank was able to both align with their data ethics mission and meet regulatory requirements in a cost-effective way.

During the webinar Zaloni’s CEO, Susan Cook, and Bremer Bank’s VP of Analytics and Data Services, Leilani Moll will discuss common obstacles faced when pursuing customer 360 initiatives, building golden records from disparate sources, technology and architectural considerations, and finding success using a DataOps approach.

Attend this webinar to learn how to:
Create golden customer records from disparate sources
Increase data operations efficiency with machine learning
Find success using an ethical, customer centric approach
How Bremer Bank is dealing with COVID-related data management

End-to-End, governed data operations is key to 2020 data success, speak with Susan Cook and Ben Sharma on why

The multiplying of offerings in the data ecosystem, the move to cloud, and the increase in data sources available to enterprises, has led to new series of challenges for CIOs and CDOs - namely, how to accelerate the time to analytics value while maintaining the control needed to ensure data compliance, security, and quality.

To succeed against the growing potential of data to increase performance, companies need true insight across the entire data journey, a view too often obscured by an uncoordinated array of data-related vendors.

In this first of a new series, Susan Cook and Ben Sharma sit down to discuss the role data operations plays as the “air traffic control” of the data supply chain.

Join them as they talk about:
- The value of having control across the “day in the life of your data”
- How to achieve greater control while broadening permissioned data access
- Why Zaloni’s emphasis on extensibility + governance is key to analytics success

Traditional data catalog solutions often require a conglomeration of separate tools (multiple catalogs, ETL, data governance, etc.) which are managed in silos by separate teams. When a data analyst needs to derive business value from this data, it requires communication across teams, integrations between products, and a high level of coordination to get them the data they need.

A single platform, on the other hand, provides a single source of truth for analysts to quickly gain access to the data they need in a self-service manner. From source to provisioning, the automated data catalog keeps gears aligned and the train on the track. This reduces the burden on the IT staff, while ensuring the right level of governance over the whole process.

An automated data catalog provides the workflow to take your data from source to value without manual intervention. Allowing a small team to accomplish the same tasks as one much larger. The catalog can automatically bring the data in from the systems of record, execute data quality rules, profile the data, prepare it for consumption, and provision it to the locations where the analysts can use it.

During this webinar, Matthew Monahan, Senior Product Manager at Zaloni, will explore:
- The benefits of a single application over connecting various point-solutions
- How automation from source to destination reduces your workload
- Real-world examples that you can leverage

Time to insights. Time to deployment. Time to value. It seems that time is an important factor for many big data projects. The faster they can be completed, the faster the investment starts to pay off. However, today’s organizations face challenges with complex data sprawl, lack of control and security, and data quality issues. These challenges result in unreliable and stale data by the time it reaches a data analyst or data scientist.

You need a solution that allows you to centrally manage and govern distributed data, ensure data quality and security, automate processes, and provide self-service access to quickly and effectively deliver trusted data to your end-users.

In this first of 3 series, Matthew Monahan, Zaloni’s Senior Product Manager, will take you through cutting-edge data management techniques and show you how to leverage a single platform to manage the complete end-to-end data pipeline. Curious how Zaloni can save you time?

Matthew will be discussing:
- Connecting and cataloging distributed data
- Harnessing the power of machine learning and AI to build an augmented data catalog
- Leveraging autonomous data management for improved data quality
- Applying right-sized data governance for security and control
- Providing self-service provisioning for near-real-time access to data

This webinar will provide you with the information you need to guide your users on their journey to an amazing self-service data experience.

Listen as Mike Brady discusses what's needed for a company to modernize its data environments with a self-service data platform. Learn how a move to the cloud and a data governance focus fosters innovation at companies across the world.

How does your company build and maintain customer relationships? Today, companies own numerous data sources and store massive volumes of customer data. Extensive data collection poses the risks of data duplication, poor data quality, and a lack of transparent data access. Without accurate and reliable customer data, companies may face higher spending along with acquisition and reacquisition costs.

Obstacles like these were apparent across Chalhoub's luxury brand and retail enterprise, a corporation managing over 650 stores throughout the gulf region. To maximize their customer data across multiple e-commerce and CRM systems, Chalhoub architected and deployed a cloud-based, centralized data hub on Microsoft Azure that provided data mastering capabilities to create customer golden records and enabled a 360-degree-view of the customer across all company brands. In this webinar, learn how Chalhoub was able to continue its "customer first" approach and improve their brand performance with Zaloni as a partner in the project.

Join Tim Blackwell, Analytics Data Architect at Chalhoub, and Scott Gidley, VP Product at Zaloni, as they discuss how a holistic view of customer data allows for greater insights and improved targeted marketing to ultimately increase the lifetime value of their customers.

Topics Include:
- Utilizing the Customer 360 approach as a foundational data lake use case
- Building customer golden records with a zone-based architecture
- Value achieved through data acceleration

Watch as Ben Sharma, CEO at Zaloni, discusses the "data imperative." Which is to ensure that we guide the current digital transformation in ways that are not just smart, profitable and open, but also wise.

Big data brings the promise of a new, enlightened era of cross-pollination and new ways of seeing information. It’s our responsibility to make data more available to achieve new possibilities while keeping it secure and private.