Name: Unlock the true potential of your data team with Live Edit
Start: 2022-12-01T23:58:00Z
End: 2022-12-02T00:22:06.000Z
Location: BrightTALK
Rating: 5

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and dashboards. Empower business professionals and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their Snowflake data.

It’s no doubt that Tableau truly changed the game in the BI and Analytics industry. But as technology advances, so does the data landscape. 

Today, cloud analytics has made it possible for companies to eliminate data extraction, ensure security and governance, and streamline disparate data into the central cloud data warehouse, making collaboration easier than ever before.  

In this webinar, data experts will explain how cloud native analytics:
- Is purpose-built for your cloud data warehouse, enabling your team to perform live queries faster
- Empowers business users to answer questions using a familiar excel spreadsheet interface
- Allows users to easily drill-down into row-level at massive scale, create pivot tables, and more

Tableau is Old News: Why Companies are Turning to Modern Cloud Native Analytics

The “Modern Data Stack” is one of the hottest topics and buzzwords in the data analytics industry today. But what does it really mean? In today’s dynamic data landscape, chances are you’ll find more than one definition (and that definition will only continue to change as the tech stack continues to evolve). 

So, what should businesses chase after and try to achieve in 2023?

In this fireside chat, PhData Chief Analytics Officer Luke Stanke and Sigma Senior Director of Sales Enablement, Matt Curtis will discuss:

- The evolution and main players of the modern data stack
- The transformation of business intelligence and top trends in data for 2023
- The importance of true, unrestrained, free-form data exploration

Redefining the Modern Data Stack in 2023

With billions of datapoints around hiring, wages, skills, and more, global provider of real-time labor market intelligence Greenwich.HR sought an analytics tool to power their new product WageScape (an embedded analytics product providing real-time compensation insights). Upon evaluating Power BI and Tableau, Greenwich.HR quickly realized neither of them could handle the scale and complexity of their database while meeting the UX and performance requirements.

Leveraging embedded analytics with Sigma, they promptly funneled in their large-scale datasets and tables from Snowflake, enabling their clients to gain complete visibility into Greenwich.HR’s database seamlessly to answer questions in real time. 

In this webinar, Greenwich.HR’s Founder and CEO Cary Sparrow and Director of Product Development Daniela Chita-Perez will discuss how they:
- Reduced time-to-value, creating custom dashboards in weeks (vs. months)
- Enabled clients to drill down and ask complex questions while saving $100k+ in resources
- Projected 7-digits in revenue from new incremental sales over the first year for WageScape

Greenwich.HR Hits a New Multi-Million Revenue Stream Using Embedded Analytics

Financial services companies are at a point where simply having tools is not enough; it is about having tools that contribute to optimized processes and overall bottom-line improvement. With cloud analytics, organizations have easier access to data and the ability to respond to customers and regulatory changes with agility and insight. 

Join Sigma's data experts to hear about how current customers use Sigma to optimize and automate financial processes while also emphasizing customers' experience with their company.

Automating and Optimizing Financial Services with Cloud Analytics

Companies using Looker are experiencing bottlenecks when trying to make sense of their data, and the last thing they need is another obstacle. 

Data engineers are costly and need to adopt Looker’s proprietary language LookML, causing a backlog of unanswered (but critical) business questions. Guesswork doesn’t result in good decisions, and teams of all data levels need access to comprehensive, real-time insights in order to drive business impact faster. 

In this webinar, industry experts Zack Norton and Reed Rawlings will discuss: 
- The pains and redundancy of LookML
- How Sigma’s excel interface makes ad-hoc analysis fast and easy for anyone
- How to explore real-time data directly from your cloud data warehouse

3 Reasons Why Data Teams Are Switching From Looker to Sigma

With insurance and pension companies relying on Slope Software for their cloud-native financial modeling ecosystem, the team needed a better (and simpler) way to manage and analyze the vast stores of data that feed in and out of their projections. 

In this Q&A style webinar, Slope Software CTO and Co-founder Taylor Perkins dives into how they overcame limited functionality and unnecessary complexity to quickly enhance analytics capabilities, save resources and drive business growth by 150% YoY. 

Register to learn:
- The challenges Slope saw with Looker and why they switched BI tools 
- How they increased their self-serve analytics user base by 200% 
- How Slope uses Sigma for embedded analytics

Why SaaS Companies Are Saying Goodbye to Looker for Embedded Analytics

It’s become quite clear to many businesses that as the volume of data increases, so does the complexity—making simple questions actually quite difficult to answer. And without the right tools, it’s an uphill battle. 

Learn from the leading data experts at Snowflake, Sigma and Infostrux Solutions as they discuss what it takes to be more efficient and agile to survive 2023. 

During this webinar, we will cover how to:
-Build a winning modern data stack
-Increase visibility of business metrics using automated frameworks
-Implement best practices in your organization

3 Essentials Every Modern Data Stack Needs in 2023

Between the exponential growth of data and economic shifts, it's no surprise that retail and CPG companies are adapting to consumers' changing behaviors and rapidly digitizing solutions to continue to make revenue. For most retailers, customer experience, merchandising and planning optimization, purchasing methods such as BOPIS, Buy Now Pay Later, and contactless payment is top of mind when determining how to optimize data tech stacks to fit current needs. 

Join Sigma's data experts to hear about the recent retail trends and how cloud analytics is helping retail and CPG businesses better utilize data to drive growth and retention for their customers.

Elevate Your Retail Analytics: A Data Outlook on Top Trends of 2023

Join Sigma data experts for this free, instructor-led virtual hands-on lab. Follow along and get your questions answered by a product expert in real time — no SQL or technical skills are needed. 

See how easy it is to turn your organization into a data-driven, collaborative business where every employee can easily explore and analyze data at scale. We’ll dive into how to:

-Get oriented in the Sigma user interface
-Create a workbook containing demo data and perform calculations
-Build a custom, interactive dashboard with charts and visualizations

Virtual Hands-on Lab

Most organizations are sitting on a treasure trove of data. But, this data is often not available to the end users that need it (customers, partners, suppliers, etc). 

The classic approach to solve this problem is to build and embed dashboards into a customer facing portal (i.e. an application). While this does provide value, it creates another major challenge -- how to satisfy the never ending deluge of new reporting requests. The backlog of requests will grow over time which in turn leads to lower customer satisfaction and inhibits your ability to compete with other companies that may be offering a richer analytics experience.

Please join Sigma's Embedded Webinar where we will discuss how to:

1. Reduce the amount of time it takes to develop new dashboards. 
2. Empower your end users to explore and analyze data on their own. 
3. Think about data as a competitive differentiator, potentially creating a net new revenue stream.
4. Uplevel your customer experience by offering capabilities typically not available through embedding.
5. Deploy your embedded solution with minimal effort.

The benefits are less internal resources to develop new dashboards, higher customer satisfaction, faster turnaround times, and a differentiated premium offering.

Accelerate Time to Value with Embedded Analytics

Between the volume, complexity, and accessibility of data, drilling down to answers quickly is difficult. Executives are under pressure to forecast business outcomes accurately, and analysts are under pressure to provide solutions. 

When it comes to revenue planning, managing budgets and investments using traditional methods like Google Sheets or Excel to manage budgets can be error-prone and tedious. And the importance of accuracy and speed is critical.

Join Sigma’s Chief Revenue Officer, Brian Murphy, and VP of Operations, Orla Clifford, as they dive into how to streamline revenue planning and forecasting with cloud analytics.

How to Accelerate Revenue Planning with Cloud Analytics

In the retail industry, gathering data to understand the business performance is just as important as learning about the customers. By leveraging data, businesses can tailor their purchasing, marketing, and pricing decisions to meet customer needs and drive sales.

Retailers collect large volumes of data making it difficult to find the right analytics tool for the job. Legacy BI tools were not built for the cloud and cannot handle multi-billion row datasets. Hear from Veronica Beard on the importance of leveraging a data analytics tool to gain a competitive edge and accelerate business outcomes through data-driven decisions.

In this webinar, you will learn about:
-How experts from Veronica Beard are using modern retail analytics to achieve impactful business outcomes
-Modern market basket analysis techniques that can shape better cross-sell strategies
-Data-driven inventory management strategies that maximize profit and capacity

Using cloud analytics to optimize merchandise mix at Veronica Beard

iPipeline is building the end-to-end digitized ecosystem and is working to optimize all application and processing workflows—from quote to commission—and consolidating them within one of the most expansive straight-through processing platforms, significantly reducing paper, saving time, and increasing premiums and placements for insurance agents. With its unique and powerful aggregated community of more than 150 carriers, 1,400 distributors and financial institutions, and more than 600,000 agents, iPipeline has the largest data set in the industry. With this wealth of data, iPipeline has been enabling business users to be data driven without the need for code or data expertise, through packaged analytics using traditional BI platforms. 

Join this webinar to find out why Snowflake and Sigma best suited iPipeline’s use cases for their most recent solutions to power data sharing and self-service.

How iPipeline leverages Sigma to enable data sharing and self-service analytics

This virtual, instructor-led, hands-on lab is for anyone on your team who wants more answers from their data. Our experts will give a first-time overview of how Sigma makes it easy to:
-Ask ad hoc questions and get answers in real time
-Drill into data to perform calculations and analysis
-Build interactive dashboards and robust visualizations.

Sigma Virtual Hands-On Lab

After countless hours of Metrikus’s operations department spent logging into every building in their portfolio to monitor sensor data, the team realized they needed a more efficient way to manage sensor performance, quickly deliver ad hoc reporting requests to customers, and get a granular, full-funnel view of their business operations — all while freeing up precious engineering resources.

Find out how Metrikus leverages Sigma’s capabilities such as embedded analytics and Snowflake dashboards to make it easier to connect and harness all the data in their data warehouse for a complete picture of business performance, and to generate trend reports to capture the UK return to office environment.

In this webinar we’ll dive into how Metrikus achieved:
-25% improvement in operational efficiency across the organization
-25% increase in the number of complex, ad hoc customer reports delivered
-10x faster product issue identification and resolution
-41% increase in website referral traffic due to embedded dashboards
-10% increase in revenue potential
-50% Snowflake query optimization

How Metrikus Leveraged Sigma to Increase Operational Efficiencies by 25%

Building a robust data application continues to be a complex and iterative process.

In a typical data application development lifecycle, data analysts work with business users to identify data requirements, which data engineers use to build usable data models and dashboards. As business users leverage these dashboards for their day-to-day analysis, new requirements inevitably surface, creating constant rework.

Sigma significantly shortens the development lifecycle and reduces rework by bringing all parties to a clear understanding of what is required. Through collaborative and easy exploration of raw data without the upfront need to build a formal data model, data engineers can leverage this knowledge to build the formal data model right the first time.

In this webinar, we demonstrate how Sigma, Snowflake and dbt come together to make this possible.

Building Data Products Faster with Sigma, Snowflake and dbt

For too long, analytics has been a solitary activity. One person sitting in front of a screen building out the analytics and insights that they think are necessary to address the needs of the business. And now—for the first time—analytics has become a collaborative activity.

Sigma, the leader in cloud-based analytics that allows users familiar with spreadsheets to live query billions of rows of data from their cloud warehouse, now enables users to collaborate on their documents. 

Join our data experts as we dive into our newest feature, Live Edit, and demonstrate how business users can build, edit, and work together on analytics more simply. 

In this interactive discussion, you'll learn:
-Why analytics collaboration is the future of business intelligence
-How Live Edit can drive efficiency and increase analytics throughput 
-How this new feature unlocks the true potential of your data team

Unlock the true potential of your data team with Live Edit

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Unlock the true potential of your data team with Live Edit

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