Many large and mid-sized enterprises standardize their analytics projects on Microsoft SQL Server. To meet modern business requirements, they now need to integrate data from myriad operational platforms into consolidated Azure cloud platforms to support data warehouse and data lake use cases. Their data engineers must manage pipelines that ingest and transform these high volumes of multi-sourced data, automating where possible and customizing where necessary.
This webinar defines a framework for data integration tools that address these requirements, then examines their adoption drivers, challenges, benefits, and use cases. It offers guiding principles and product evaluation criteria to simplify the data integration process, improve performance and scale, and modernize your analytics architecture.
Join Eckerson Group and TimeXtender to learn:
- What data integration means for Hybrid Azure environments
- Why enterprise data teams need modern data integration tools
- What benefits they can achieve, and what use cases they can support
- How data engineers and architects can meet modern requirements
- How to evaluate data integration tools for your team
Kevin Petrie - VP of Research, Eckerson Group
Joseph Treadwell - Solution Specialist Director, TimeXtender
Malware, theft, espionage, and other cybersecurity threats are the bane of digital business. Bad guys get better each year at stealing money, customer identities, and secrets. To reduce their risks, enterprises need to sharpen their surveillance.
Security log analytics can help. It enables security operations (SecOps) teams to improve the cost and scale at which they predict, prevent, and mitigate rising threats. These tools study events such as user logins, password changes, and firewall alerts to identify, assess, and respond to security threats. New low-footprint indexing tools make security log analytics more scalable and flexible for cost-conscious enterprises.
Join this webinar to learn:
- Adoption drivers, challenges, requirements, and benefits of security log analytics
- Primary use cases for security log analytics
- Why security log analytics offers a scalable and cost-effective alternative to security information and event management (SIEM) tools
Kevin Petrie - VP of Research, Eckerson Group
Thomas Hazel - Founder, CTO, and Chief Scientist, ChaosSearch
Augmented analytics uses artificial intelligence (AI) and machine learning (ML) to make business intelligence (BI) and analytics tools easier to use and generate insights not possible with earlier generations of products. However, this doesn't mean all business users will universally adopt the new features. Analytics leaders need to understand the target audience for these features before rolling them out broadly.
This webinar explains what augmented analytics is and shows how data and analytics leaders can increase adoption of these new capabilities. It presents an Analytics Adoption Framework that describes the major factors that contribute to widespread adoption of BI and analytics tools and features. It features a case study of Roche, an SAP customer that successfully implemented SAP Analytics Cloud to support predictive planning.
- Understand the range of augmented analytics, from natural language search and assisted insights to predictive planning.
- Drive adoption of augmented analytics by knowing the target audience and the features best suited to it.
- Learn the major objections business people have to BI and analytics tools in general and augmented analytics features more specifically.
- Leverage the Analytics Adoption Framework to identify potential objections to new technology rollouts.
- Listen to one company’s implementation of predictive planning using SAP Analytics Cloud.
Wayne Eckerson - President, Eckerson Group
Orla Cullen - Solution Manager Augmented BI, SAP
Irina Lichkova - Solution Architect, Roche
Modern business intelligence (BI) seeks to connect more people to insights by unlocking more data, allowing them to ask bigger questions. In the past, providing answers for business folks required an array of different tools, but, over the last two decades, feature consolidation in the BI space has led to a new approach—the Unified Data and Analytics Platform or UDAP. UDAPs provide a single, end-to-end experience that combines the data and analytics stacks—reducing time to in-sight and increasing user adoption.
This webinar will define the key attributes of UDAPs and explore how they democratize business intelligence. In this session, Eckerson Group research analyst Joe Hilleary will speak with Ben Schein, VP of Data Curiosity at Domo, and together they will highlight the benefits of UDAPs for both companies just setting up an analytics environment and those dealing with overly complex ones. They will also explain how cloud-based UDAPs are uniquely positioned to deliver cascading analytics to meet the data needs of clients outside the business.
You will learn:
• The defining traits of UDAP and how their approach differs from previous generations of BI solutions.
• Meaningful use cases and success stories from companies who have implemented a UDAP-based approach to BI.
• How cloud-based UDAPs like Domo facilitate cascading analytics.
Joe Hilleary - Research Analyst @Eckerson Group
Ben Schein - VP of Data Curiosity @Domo
Modern business depends on real-time data integration. Sales, finance, HR, and other operations need to synchronize records across applications, departments, enterprises, regions, and clouds. Real-time data integration also supports data analytics that triggers operational actions such as customer recommendations, proactive maintenance, and fraud detection.
Change data capture (CDC) technology is the gateway to enabling real-time events on complex operational systems. This webinar will explore the requirements, use cases, and guiding principles for driving real-time operations with CDC.
Join us to learn:
- What role CDC plays in hybrid, heterogeneous environments
- Why you need CDC for real-time operations
- How to architect effective CDC pipelines