Name: Using automated visualizations to ensure confidence in your data
Start: 2022-03-22T20:00:00Z
End: 2022-03-22T20:00:30.000Z
Location: BrightTALK
Rating: 0

Anomalo data quality management automatically detects data issues and understands their root causes so you can quickly and efficiently solve them. 

Digital transformation has been a buzzword for years, but for many companies the process is still an ongoing one. Determining where to automate legacy processes, or digitize these systems, can often be a headache for the business leaders involved. Business intelligence helps to relieve that. BI and data can provide the insights needed to make the best decisions on what to automate, what to digitize, and when. 

In this episode of Business Intelligence Report, we’ll examine how companies can leverage business intelligence to achieve their automation and digital transformation goals. 

Topics for discussion include: 
- BI’s role in digital transformation and how to make the most of your organization’s data 
- How business intelligence can help organizations make better-informed decisions to compete in today’s digital landscape
- The ways business intelligence and data help drive digital transformation initiatives
- And more

Transformation, Automation, and how Business Intelligence Affects the Process

While all companies value data quality, it is required in some industries through regulation. Learn from experienced data people that work across industries and many types of data on how companies can provide data quality in environments where legacy systems are combined with modern data stack tools with complex requirements.

Hear Antoine, Joe, and Jeremy discuss timely data topics such as:

- How is data engineering different than software development?
- How are companies using data management frameworks to help with cloud migrations?
- Are organizational changes due to technology changes? 
- How are data contracts used in regulated organizations?
- Why are we hearing more about data governance?

Scaling Data Quality in Regulated Industries

The new demands of digital-first strategies have pushed many companies to adopt new data platforms in order to keep operations running smoothly. Snowflake is one of the most popular choices in the market, but many users are only just scratching the surface of its potential.

Despite the best of intentions, McKinsey reports that fewer than 30% of digital transformation strategies are successfully implemented. Without the right support in place, a majority of companies are struggling to get a return on their technical investment.

This doesn’t need to be the case — and certainly not with your Snowflake warehouse. Data quality management (DQM) implementation can be tricky but there are a few key ways to optimize the rollout. 

This webinar presents a masterclass in Snowflake optimization, providing a deep dive into:

• The most common mistakes companies are making with DQM in Snowflake
• How to take your implementation from functional to optimal
• The power of compatible services: Qualities of the perfect partner for Snowflake customers
• And more

Snowflake optimization: How to achieve ROI with data quality management

Today’s digitized world has made every business into a data company: in fact, Domo reports that 2.5 quintillion bytes of data are produced every single day. The opportunity to uncover countless valuable insights has made data management an integral part of operations; when done right, it informs all other functions and streamlines the business.

But in reality, many companies are working with low-quality data and inefficient pipelines, which deplete resources for minimal results. And, while basic tools can be a good way to reduce overhead, with data quality management (DQM) this can actually cause more financial damage down the line. 

This webinar breaks down the causes and repercussions of a failing DQM strategy and offers key advice for achieving success. Webinar highlights include:

• What an inefficient DQM strategy looks like
• How to spot gaps in your existing data quality audits
• Which technology tools are most critical for a validated DQM pipeline
• And more

The business consequences of low-quality data

Winning the War for AI Talent

The Essentials to Data Science Success within Enterprises

The Human Data Democracy

Leveraging Big Data Analytics & Visualization for transformational growth

The Art of Storytelling through Engaging Visuals

Building Commercial Products using BI and Visual Analytics

Data Fabric for Analytics & Cloud : A Telco Realty

How to Unlock the Value of Data in Your Business

Modernizing Business Intelligence Creates Path to Data Leadership

Data Visualization & Analytics for Business Intelligence

Seeing the Forest and the Trees: Data Discovery in Billion Row datasets

Bringing Big Data to Enterprise BI with Starburst & ThoughtSpot

Trends in Big Data and Analytics in 2022

Automatically detect data issues and understand their root cause before anyone else.  If this sounds like it could save you hours (or days) spent on tracking down data issues and the reason they’re occurring, see how Anomalo can begin automatically monitoring your data for quality issues within minutes. We’ll be looking at simple, fast, and intelligent visualizations of anomalies automatically detected in your data.

Using automated visualizations to ensure confidence in your data

Data

Data Analysis

Data Anomolies

Data Detection

Data Engineering

Data Issue

Data Quality

Data Quality Analytics

Data Warehousing

Machine Learning

Enterprise applications have become a crucial piece of infrastructure for many businesses. The enterprise applications community on BrightTALK features the latest insights in enterprise application integration, enterprise application architecture and EAS software. Join the community to gain access to thousands of videos and webinars presented by recognized enterprise information systems experts and arm yourself with the knowledge you need to succeed.

Enterprise Applications

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Using automated visualizations to ensure confidence in your data

Presented by

About this talk

More from this channel