Jazz Up Your Analytics

Conference Agenda

Say Goodbye to Tedious Tasks: Embrace The Power of DevOps

In the fast-paced and ever-changing business world, automation is a vital aspect for achieving success with business intelligence. However, applying the DevOps principle to analytics can be difficult as GIT is not designed for analytics tools like Power BI, Qlik or Cognos Analytics. In this session, you will discover effective ways to implement DevOps for your analytic solution to optimize the delivery process, reduce disruptions, and achieve the best possible outcomes.

The Key to Escape the Infor-MAZE-tion

In today’s data-driven world, businesses rely heavily on data-based decisions. However, the abundance of information available through various business intelligence tools, PDFs, embedded analytics, and AI solutions can easily overwhelm end-users. Often, users find themselves lost in a maze of analytics, restricted to searching within silos. In this session, we aim to break down these walls and offer a solution that empowers business users to search and locate the information they need precisely when they need it.

Mastering the Art of DAX: Required Knowledge to Crafting Robust Data Scenarios

If you’re looking to become a DAX master, it’s important to start with a solid understanding of the fundamental concepts and best practices for implementing DAX in your reports. This is where the true potential of Power BI lies. By using Power BI correctly, you can ensure that your data scenarios are robust and reliable. This session will inspire you to understand what DAX knowledge is needed to create robust data scenarios.

Matchmaking for Machines: Finding the Perfect AI Companion for Your Company

AI analytics is powerful in significantly improving decision-making capabilities, reducing costs, accelerating delivery times, and giving you more time to focus on strategic matters. In this session, you’ll learn about the AI solutions offered by three major vendors in the industry: IBM, Qlik, and Microsoft. You’ll get a comprehensive overview of their offerings and features, and you’ll have the chance to try them out yourself.

Get Your BI Trash Off My lawn

Analytics assets have tremendous value to your organization, but their value can decrease over time, leading to clutter, broken artifacts, and additional costs. By actively managing the analytics people create, the purpose, and the lifespan, we can prevent our environment from becoming like the aftermath of a music festival. However, this is not a given when you have multiple BI tools like Cognos, Power BI, and Qlik, with different audit logs and incomplete usage data. During this session, we will discuss how you can keep your valuable assets at hand in a controlled fashion.

What's In Store For You?

MON, SEP 16, 2024

6:00 PM TO 9:00 PM

Welcome Reception

Kick off your conference experience with a Taste of New Orleans at our Welcome Reception! Join us to mingle, meet fellow analytics enthusiasts, and enjoy a night of good vibes and great company.

The Jazz Up Your Analytics conference was extremely content-rich. It provided more meaningful content in two days than many of the conferences that span four days.


TUES, SEP 17, 2024

8:30 AM TO 4:30 PM


Dive into a diverse lineup of sessions at “Jazz Up Your Analytics 2024”! Whether you’re into Qlik, Cognos, Power BI, DevOps, or AI, our expert-led roundtables, dynamic guest speakers, and insightful customer presentations offer something for every analytics professional. Join us to explore new ideas and share your experiences in an engaging, collaborative environment.

Great event to attend. The Motio team really goes out of there way to make you feel part of the family.


WED, SEP 18, 2024

9:00AM TO 12:00 PM

Hands-On Labs and Certs

Enhance your skills with our hands-on labs and certification opportunities. Certify yourself in leading-edge Motio and software solutions, and gain practical experience that will elevate your analytics expertise. Don’t miss out on this chance to boost your professional credentials!
This conference is a powerhouse for BI teams, blending targeted sessions with practical insights for maximum, actionable learning.


Register for Jazz Up Your Analytics 2024 Today!

Ready to elevate your analytics game? Register for “Jazz Up Your Analytics 2024” and connect with industry leaders, gain valuable certifications, and participate in enriching sessions designed to ignite your passion for data. Join us for an unforgettable experience – we can’t wait to see in New Orleans!
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As the BI space evolves, organizations must take into account the bottom line of amassing analytics assets.
The more assets you have, the greater the cost to your business. There are the hard costs of keeping redundant assets, i.e., cloud or server capacity. Accumulating multiple versions of the same visualization not only takes up space, but BI vendors are moving to capacity pricing. Companies now pay more if you have more dashboards, apps, and reports. Earlier, we spoke about dependencies. Keeping redundant assets increases the number of dependencies and therefore the complexity. This comes with a price tag.
The implications of asset failures differ, and the business’s repercussions can be minimal or drastic.
Different industries have distinct regulatory requirements to meet. The impact may be minimal if a report for an end-of-year close has a mislabeled column that the sales or marketing department uses, On the other hand, if a healthcare or financial report does not meet the needs of a HIPPA or SOX compliance report, the company and its C-level suite may face severe penalties and reputational damage. Another example is a report that is shared externally. During an update of the report specs, the low-level security was incorrectly applied, which caused people to have access to personal information.
The complexity of assets influences their likelihood of encountering issues.
The last thing a business wants is for a report or app to fail at a crucial moment. If you know the report is complex and has a lot of dependencies, then the probability of failure caused by IT changes is high. That means a change request should be taken into account. Dependency graphs become important. If it is a straightforward sales report that tells notes by salesperson by account, any changes made do not have the same impact on the report, even if it fails. BI operations should treat these reports differently during change.
Not all reports and dashboards fail the same; some reports may lag, definitions might change, or data accuracy and relevance could wane. Understanding these variations aids in better risk anticipation.

Marketing uses several reports for its campaigns – standard analytic assets often delivered through marketing tools. Finance has very complex reports converted from Excel to BI tools while incorporating different consolidation rules. The marketing reports have a different failure mode than the financial reports. They, therefore, need to be managed differently.

It’s time for the company’s monthly business review. The marketing department proceeds to report on leads acquired per salesperson. Unfortunately, half the team has left the organization, and the data fails to load accurately. While this is an inconvenience for the marketing group, it isn’t detrimental to the business. However, a failure in financial reporting for a human resource consulting firm with 1000s contractors that contains critical and complex calculations about sickness, fees, hours, etc, has major implications and needs to be managed differently.

Acknowledging that assets transition through distinct phases allows for effective management decisions at each stage. As new visualizations are released, the information leads to broad use and adoption.
Think back to the start of the pandemic. COVID dashboards were quickly put together and released to the business, showing pertinent information: how the virus spreads, demographics affected the business and risks, etc. At the time, it was relevant and served its purpose. As we moved past the pandemic, COVID-specific information became obsolete, and reporting is integrated into regular HR reporting.
Reports and dashboards are crafted to deliver valuable insights for stakeholders. Over time, though, the worth of assets changes.
When a company opens its first store in a certain area, there are many elements it needs to understand – other stores in the area, traffic patterns, pricing of products, what products to sell, etc. Once the store is operational for some time, specifics are not as important, and it can adopt the standard reporting. The tailor-made analytic assets become irrelevant and no longer add value to the store manager.