Self Service Analytics had initial promise and is finally gaining momentum. In this blog, we define and guide organizations in using Self-Service Analytics.
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It took a while, but automated analytics is here. But you need to understand some areas of impact. Listen in as I unpack these areas and cautionary items.
Mohammed does an awesome job of explaining how Power BI can be leveraged to understand the “What”, “Why”, “What Will” (predictive), and “How” for Data Analytics. I like the way he breaks these down with examples of Power BI visual tools to use. He has a LOT more videos on his channel: https://www.youtube.com/TAIK18
In this session, we’ll show you how easy it can be to mistakenly create what seems to be a useful dashboard in Excel or Power BI, but isn’t truly relevant due to poor data management. Then we’ll walk through best practices and tools for effective data organization and governance processes so you can ensure you’ll always walk away with what are helpful, accurate dashboards that will drive competitive, stellar results.
In this case study, we will describe how a company in the glass industry captured IoT data for analysis in order to mitigate production quality issues. The company needed a solution that would reduce their data acquisition and processing time so they could make in-process changes to the production line and reduce quality incidents. We will highlight the strategy, approach and delivery of a system built with Azure tools that increases response to quality issues by more than 70 percent!
The content of this session is geared toward an audience with intermediate to advanced-level knowledge of the subject area.
This session will be available for CPE credits pending completion of session survey post event.
Do you sometimes feel overwhelmed when it comes to choosing “the” Microsoft tool to use for your analytics projects? Join this session to learn about various options for data movement and integration in order to employ the right analytics strategy for you. Topics covered will include Power BI Dataflows, Azure Data Factory, Azure Synapse, Azure Stream Analytics and more. Select live demonstrations will be used to illustrate use cases.
• Discover the use case for different available tools
• Examine the components and architecture options for different approaches
• Appreciate the benefits and drawbacks of each option
The content of this session is geared toward an audience with beginner to intermediate-level knowledge of the subject area.
This session will be available for CPE credits pending completion of session survey post event.
This article is sponsored by Oracle. Group VP of AI Data Analytics Cloud, Bruno Aziza, explains why he’s turning the Oracle Analytics Summit into a series.
How Oracle is invigorating its Oracle Analytics business and leadership under the direction of group vice president Bruno Aziza.
This podcast is brought to you by Oracle. || Hear from Bruno Aziza, Group VP of Oracle Analytics, about expanding access to data science, workflows, & more.
The recent Oracle Analytics Summit will be regarded as a turning point, as the company reset its strategy around customers, simplicity and integration.
Google Cloud and Salesforce each announced multi-billion dollar acquisitions about 72 hours apart. Here’s what’s behind the Looker and Tableau deals.
QlikWorld in Las Vegas promises to be an extraordinary showcase of data analytics tools and products that take users from data engineering to data science.
From generative AI to big data/analytics platforms to on-premise clouds, the Cloud Wars Top 10 have served up an innovative set of products to watch in 2024.
IBM leveraged AI and data analytics to transform its supply chain into a cognitive supply chain, achieving massive savings and fulfilling all customer orders despite disruptions.
Discover the distinctive supply chain products of Amazon, IBM, and Microsoft and their potential benefits for businesses.
Microsoft’s cloud business is projected to generate as much revenue in 2023 as both AWS and Google Cloud combined, highlighting its dominance in addressing customer needs and pioneering in technology.
There are unique endpoint security challenges associated with cloud-based systems. Here are some strategies to address them.
Wayne Sadin explains organizations can make the most of their big investments in generating and acquiring data with the help of SaaS data lakehouses.
As a business leader today, your success relies on accurate data, real-time analytics, and actionable intelligence. Here are the tools to help you.
Embracing digital transformation, cybersecurity, energy-efficent infrastructure, and relevant data and systems helps meet sustainability goals.