Name: Modern Data Cloud Architecture
Start: 2021-10-12T16:30:00Z
End: 2021-10-12T16:30:24.000Z
Location: BrightTALK
Rating: 5

Modern business is digital business, and digital business means analyzing a growing flood of data. Alteryx helps customers achieve outcomes from their data to create business-changing breakthroughs every day. From designing reliable forecasts in an unpredictable economy to developing fair and equitable compensation packages for employees, the daily business and societal challenges we face demand data-driven answers.

Our human-centered, engaging analytics automation platform unifies analytics, data science, and process automation together in one solution to help you harness that flood of complex data to quickly solve real-world problems.​

In this webinar, we’ll chat with SearchKings, a digital advertising agency that built a self-service data culture on the Google Cloud ecosystem by leveraging powerful Google native tools, such as Google Cloud Dataprep (the Google native version of Alteryx Designer Cloud). Learn how SearchKings made it easier for users to build self-service reports, improved the timeliness and trustworthiness of reporting for managers, and created a culture where anyone can work with data, starting from day one, even if they don’t know how to code. 

Speakers:
Nir Kushnir, Chief Revenue Officer, SearchKings
Teddy Hector, Data Analyst, SearchKings
Paul Warburg, Sr. Professional, Product Marketing, Alteryx

Data Democratization: How SearchKings Built a Self-Service Data Culture

Want to leverage Cloud data technology without sacrificing your existing expertise on Desktop tools?  This webinar is for you.

Cloud tools, like Designer Cloud Powered by Trifacta, allow data professionals to take advantage of new powerful capabilities such as machine-learning powered data transformation suggestions, unlimited scalability, browser-based manageability, and strong governance. But Desktop tools, like Alteryx Designer, remain equally as strong with powerful on-premise capabilities, unique tools, deeply experienced teams, and years of pre-existing data preparation workflows.

For teams that want to leverage the Cloud without losing their current edge on existing Desktop tools, what’s the best path forward? In this webinar, we’ll provide the answer, and show how desktop users can leverage Snowflake to combine their preexisting workflows and expertise in with the uniquely powerful capabilities of the cloud. Don’t miss this free opportunity to upskill and evolve!

The Hybrid Data Workflow: Combining the Best of Desktop and Cloud

The modern data architecture is all about scale, allowing organizations to store and utilize high volumes of data. There are 2 components to realizing this scale: (1) Building an architecture with the right tools; (2) Building a team that can take proper advantage of these tools. This session will explain how you can achieve both. 

We’ll cover the key components of successful modern data architectures, along with how successful organizations are utilizing these components to achieve democratization and scale insights within their organizations.

• See examples of modern data architectures on the major cloud platforms, including AWS, GCP, Azure, Snowflake, and Databricks
• Learn tips and tricks for using modern data platforms to their full potential by scaling people, processes, and processing

Hear success stories from organizations that have successfully modernized their data warehouses

Bio: Nike Start is a Sr Sales Engineer for Asia Pacific & Japan region focused on helping companies transition to the modern stack. He has 10 years of experience engineering, analyzing, visualizing data across multiple verticals. When he’s not working with data he enjoys traveling, surfing, and spending time with his wife and 2 dogs.

LinkedIn Profile: https://www.linkedin.com/in/nikestart/
Location: Los Angeles, California – USA

How to Scale Insights With Your Modern Data Warehouse Architecture

Video: How to Scale Insights With Your Modern Data Warehouse Architecture

Relying on manual data entry for your CRM, ERP, accounting and local Excel files, etc., increases the risk of human error. With Alteryx, connecting all your systems makes checking for discrepancies across multiple systems easy. It saves hours in data validation and minimizes the headaches that come from making decisions based on incorrect data. 

Join us to learn how to reduce time spent on validation and minimized the probability of error when completing pre-authorized payments from clients. 

Key Takeaways:
1. Automation of manual processes
2. Autodetection and reporting of data inconsistencies 
3. Reduces complexities, human error and saves time

Finance Automation: Maximize Control and Efficiency Across Financial Systems

Trial & Balance sheet not zeroing out? Don’t let this take up hours of your time.  With the help of Alteryx Designer, we can make tedious and brittle half day process run in less than 10 seconds.  This hands-on training will show you how to increase reliability with a repeatable Alteryx workflow that creates a rolling trial balance automating this process.

During this session you will learn how to:
1. Improve efficiency with Alteryx Designer
2. Increase reliability
3. Stable repeatability

Automating Tax Analytics - Hands-on Training

With eCommerce continuing to grow and consumer demands changing faster than ever, understanding your data is essential to optimizing sales and making the right decisions about promotional spend.

In this video, we’ll cover how retailers can track ROI, better understand what incentivizes customers to buy premium brands, and discover how customer loyalty program data affects their bottom line. Through a demo of easy-to-use analytics tools, we’ll show you how to uncover new insights from your sales, marketing, and customer loyalty data. 

During this webinar you will learn:
1. How to use Machine Learning to identify opportunities for up-selling
2. How to get a sales lift of 3-5% with more effective promotional targeting
3. How to automate the full process from data prep to advance analytics predictions

Analytics to Optimize Your Customer Loyalty Program

Migrating data from old systems to new systems is costly and painful, but Alteryx can provide transparency and facilitate successful upgrades to new Enterprise platforms. 

Join us for a demonstration of Alteryx’s agility while working with a data extract from an older ERP to a new Enterprise solution. A key tenant of migration projects is working closely with stakeholders from the client and data platform teams, navigating documentation and feedback notes from conference room pilots to quickly modify transformation logic to accommodate the business needs.  

•	Business Problem statement
•	ID ‘change requests / feedback’ from the SMEs/Business Teams
•	Use the Documentation in the workflow to quickly identify the tools requiring updates
•	Make logic updates in real time: 2 or 3 live updates based on ‘feedback’
•	Benefits of using Alteryx Server as repository for workflows & change management
•	Using Alteryx takes the headache out of the ‘Go Live’ migration process, because we can prepare the workflows and when the data is ready, simple hit Run!

Migrations Made Easy With Alteryx

Using predictive analytics to optimize store openings would be beneficial for several reasons. It mitigates the risk of opening stores in locations that cannot support a new store  at that time due to lack of customer base or over saturated trade areas. Similarly, determining optimal customers to market ensures more successful ad campaigns by carefully selecting potential customers with a high likelihood of responding. 

While something like Python could be used to produce a model, Alteryx is more efficient for development and makes gathering the data simple. The Experian dataset, business insights, etc., can be bought through Alteryx and is integrated with the designer tool for a quick startup.

Watch this webinar if you are asking the following business questions:

•	What are my most valuable customer types?
•	Where should I open a store? 
•	How successful would a store be if I opened one in a certain location?
•	Which customers/potential customers should I market to?

Site Selection Using Predictive Analytics

Data Science was frequently touted as the ‘sexiest job of the 21st Century’ but has reality finally caught up with the hype? Modern organizations are now realizing that chasing after the elusive ‘unicorn’ data scientist is neither sustainable nor delivering the benefits that were promised. 

Instead, companies are turning to their subject matter experts within the business and amplifying their potential with low-code/no-code advanced analytics to deliver transformational outcomes where domain expertise meets critical business challenges. 

In this webinar, learn how powerful analytic automation capabilities drive transformation when put in the hands of every knowledge worker, and how to develop a strategy to nurture, support and accelerate the upskilling of the modern workforce.

Here Comes Everyone: Why Analytic Adoption matters more than Analytic Innovation

There are many new challenges in Enterprise analytics but some challenges never get resolved and simply become the elephant in the room. The disconnect across the Enterprise exists across teams, functions and data. As we add more modern data sources, the learning curve becomes steeper and the processes more fragmented.

In this webinar, we discuss the disconnect faced by organizations today, why this occurs and who is impacted. We will guide you through breaking down barriers and why upskilling and empowering users to become Modern Analysts is the pathway for success.

Disrupting the Disconnect in Enterprise Analytics

Data literacy, the ability to access, analyze and communicate with data is the fundamental building block for developing a modern analytic culture. Organizations who invest in data literacy through enablement and upskilling are significantly more likely to achieve breakthrough outcomes and business value. 

In this webinar, we chart a course for analytics professionals to understand the components of data literacy and the culture that supports the development and growth of this critical skill, with best practices at each stage of the analytic journey.

Data Literacy - The Analytic Cultural Revolution

Cloud computing has taken the world by storm – and it’s not just a fleeting trend. The world needed a way to manage the explosion of data and perform computations at scale. No one understood that challenge more intimately than all of us who work in data science & engineering.

To clear the fog of buzzwords around the cloud, Newcomp Analytics, an Alteryx Premier Partner, will give you a raw and honest look at modern analytics on the cloud and how we got here. 

In this session you'll learn:
- How the best companies build their modern analytics architectures
- How to get data into the hands of those who need it most 
- How Alteryx is a critical piece of any modern analytics blueprint, the last mile where raw data is modeled, enriched, and automated for your data workers

Modern Data Cloud Architecture

Cloud Computing

Data Science

Analytics

Unstructured Data

APIs

Data Preparation

Advanced Analytics

Data Governance

Data Discovery

Machine Learning

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Big Data and Data Management

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Modern Data Cloud Architecture

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Alteryx - Partner channel