This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Organizations must prioritize strong data foundations to ensure that their AI systems are producing trustworthy, actionable insights. In Session 2 of our Analytics AI-ssentials webinar series , Zeba Hasan, Customer Engineer at Google Cloud, shared valuable insights on why data quality is key to unlocking the full potential of AI.
Given the increase of financial fraud this year and the upcoming holiday shopping season, which historically also leads to an increase, I am taking this opportunity to highlight 3 specific data and analytics strategies that can help in the fight against fraud across the Financial Services industry. . 1- Break down the Silos.
Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., Dynamic sense-making, insights discovery, next-best-action response, and value creation is essential when data is being acquired at an enormous rate.
A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. How to Use Data to Improve Your Email Marketing Strategy. Always Provide Value.
Consequently, the data infrastructure of the organization comes to the forefront of the business conversation, specifically in business data analytics strategy discussions. In other words, a business leader may justifiably ask, “How can we get our data analytics to move at the speed of our business questions?”
In a recent webinar, we discussed how data governance is a key component of an organization’s datastrategy and enables it to harness the full value of data. For a data governance plan to succeed, it is important that the right tools and technology are employed.
With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global DataStrategy). Creating A Cloud Migration Strategy.
In response, many organizations are focusing more on data protection , only to find a lack of formal guidelines and advice. While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy?
A First Look at AWS Data Exchange (Webinar) AWS Data Exchange is a product for finding and using third party data. It allows one to copy the data into an S3 bucket for analyzing. This is a free webinar on January 28, 2020.
This data needs to be harmonized in a way that presents a unified view of the customer journey and ideally a real-time view of their propensity to perform certain actions, with suggested options to increase or decrease that propensity. Strategy and culture are core components of a data driven organization . DataStrategy.
In this webinar, Jitendra Jethanandani – Vice President, Enterprise Tech, BRIDGEi2i teams up with Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere to discuss how enterprises can chart a course for revenue growth transformation. Watch the Webcast.
Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise datastrategies positively impact business outcomes. There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .
Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise datastrategies positively impact business outcomes. There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .
A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.
Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. This is the overarching guidance that drives digital transformation.
Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Techcopedia. EWSolutions.
Were kicking off the new year with exciting on-site events , new weekly podcast episodes , webinars , insightful surveys and research notes. We also look forward to continuing to support you in the successful use of data and analytics! What can we expect in 2025?
Data and Analytics —Determine the current-state realities of data readiness and develop an optimized data and analytics strategy to support and utilize the move to SAP S/4HANA. Security and Controls— Define the security and controls architecture after reviewing the current maturity levels.
CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the datastrategy and goals of becoming a data-driven company.
Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global DataStrategy, Ltd. Every day, members post about upcoming webinars and share their latest articles.
To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. David shared that across the organizations he works with, he’s seen a range of strategies.
What emerges is the criticality of a datastrategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Gartner, Top 10 Data and Analytics Technology Trends That Will Change Your Business , Rita Sallam , Donald Feinberg , Mark Beyer , W.
The DGPO is thrilled to announce we are expanding our monthly webinar series to focus on our best practices, practical tips and immediate takeaways, supporting case studies given by successful data governance practitioners and presentations by industry experts.
But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus. Data Governance: Not Just a Defensive Strategy. Curious to learn more?
With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.
What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.
I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer.
This removes a lot of the confusion around data, helping your board members to understand what data is and how it works. With clear values on your data assets, they form a portfolio of assets, each with different values. Which then gives you a digital strategy framework, so you can focus transformation efforts.
As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their datastrategy. Investing in what the business needs is important. What is the organisation trying to achieve?
Several years ago, I wrote an article called the Data Governance Bill of “Rights.” I also speak often about my Bill of “Rights” in many of my webinars and presentations. Please notice that I put the word “rights” in quotations. By rights, I do not mean human rights, or the freedoms to claim equality based […].
To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations.
Gartner’s Value Pyramid and “linking data to outcome” is a very popular workshop tool to help business and non-business folks explore how a business outcome can be de-composed into real data. Value Pyramid Workshop resource: Toolkit: How to Connect Data to Business Outcomes. Data & Analytics Strategy 12.
As ThoughtSpot chief datastrategy officer Cindi Howson wrote in an article for HBR , “The challenge is that it’s often difficult to know what’s going on inside a company. Want to learn more about building a data culture? Join us for the webinar Summit Series: Digital Leaders in Conversation.
Democratization of data. Democratization of data within the organization is vital. This process supports education (such as improving data literacy) and helps create and support the datastrategy for the organization so that the C-suite has a clear understanding of how to use data.
A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. He has recently attended a Cloudera Fast Forward webinar where the latest trends and production-proven ML algorithms have been highlighted and exemplified.
For teams moving to the data cloud to take advantage of new capabilities and drive innovation, this data intelligence can be a superpower. Anthony Seraphin at Texas Mutual and I talked about this on a TDWI webinar, Maximize Your Migration , last fall. Involving stakeholders at all levels of the business was key.
The denormalization and normalization capabilities here are crucial for easier adoption of new technologies and platforms in real-time as well as futureproofing the inevitable adjustments that come with dynamic and ever-changing datastrategies. Google BigQuery Enhancements – erwin Data Modeler 14.0 can help solve!
The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester DataStrategy & Insights in Orlando, again. Data Catalogs Are the New Black.
Every organization wants to better serve its customers, and that goal is often achieved through data. For Lavorini, the foundation for decentralizing data was “taking the human piece of it and marrying it up with the tech goals.” “It’s This is the foundation of our data mesh strategy.”
Since NetSuite is both an early innovator and a continual industry leader, it’s not surprising that over 18,000 companies located in more than 200 countries and territories rely on this ERP solution to manage their enterprise data. For many users, NetSuite is the foundation of their datastrategy, but not necessarily the sole component.
My source reported that there were some heated exchanges when the sleigh routing team started requesting data lineage for the naughty and nice lists and the wood toy assembly line started pulling in real-time local weather data to monitor wood supplies. We’re here to spread joy – not data! ” Santa’s Data Mesh Journey.
Every business today is a technology business and the fuel that largely powers it is data. If a datastrategy is not being executed today, you’re already late. Now is the time to understand the essential role of data in your organization, get the required education, hire the right talent, and put it to work.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content