Join us to discover how Deloitte is leveraging Qlik® to support their environmental sustainability initiative, using better data insights to:
Hear their story, get inspired, and discover what’s possible when you lead with data.
In this webinar, you will see how world-leading provider of mobile modular power, temperature control and energy services Aggreko, have designed an effective technology stack in Azure to enable them to accelerate the delivery of value using Microsoft & Attunity products. How to drive business value from data to support business strategy Designing an effective data architecture to support insight-driven decision making Assessing and utilising the right technologies in the cloud to accelerate delivery of value Considerations, challenges and lessons learned along our data journey.
Citco is leading the way for changing the experience for their customers through their platform with interactive dashboards and analytics. Nick Eisenlau of Citco joins us to share his journey while creating their platform as well as how they utilize Qlik® through this journey.
One of the most effective ways to spread the value and accelerate the adoption of business intelligence (BI) and analytics is to embed it into operational applications. End users and customers value the ability to model, monitor, ask, and answer questions throughout the workflow of familiar business applications. In this webinar, you will learn three ways BI and analytics are typically embedded into operational applications, new embedded use cases, and what to consider in your embedded analytics evaluation.
Business Intelligence isn't a new concept for most business owners—but there's always room to improve. Embedded analytics can help you get the most out of your investment and increase ROI.
Join us for as we sit down with Unified Logic CTO Andy Slivinschi to discuss their use of embedded analytics and learn:
Cloud BI has reached a tipping point, with adoption continuing to rise. Which use cases are the most popular? What are the benefits and challenges? How are companies deploying?
Collecting and analyzing data from the Internet of Things is different from doing it in mobile and web enterprise systems – because the data isn't located in resource-rich data centers. Instead, it's out there in the real world.
On-premises and cloud data lakes are popular for enabling analytics, big data storage, self-service data practices, and warehouse modernization. However, data management challenges can often make finding value extremely difficult. In fact, when data lakes first entered the market, many organizations simply dumped data into the lake, transforming them into entities more akin to swamps that were nearly impossible to leverage, navigate, or trust. The uncontrolled and undocumented swamp was the first generation of a data lake that had many failings, but it also provided numerous learning opportunities. Second generation data lakes have better internal organization, are typically governed better, and make use of modern ingestion technologies that support all forms of data and metadata integration. In addition, they leverage automated data pipelines as a best practice. . You will learn: - The evolution and necessity of the modern data lake - Options for efficient, real-time data ingestion at scale - The importance of data pipeline automation.
Raymond James is now well-advanced on its journey to drive digital transformation in its contact centers, thanks to improved insights. The company has extensive plans to improve cost analysis, budgeting and planning in many different areas of the business, with Qlik.
Attunity and Microsoft have a solution to help data-driven organizations get more value from data. This live webinar will explain how to: - Implement a fully managed cloud data warehouse for enterprises, combining fast query performance with industry-leading data security - Raise the bar on cloud data warehouse price-performance per industry analyst GigaOm - Integrate real-time data to ADW with the industry's broadest range of sources using change data capture (CDC) technology - Automatically generate ETL code to help data architects rapidly configure and manage ADW.
Discover how leaders across every industry are getting more from their data, improving their results, and transforming their businesses.