WHY IT MATTERS: Digital Transformation

The core idea behind data lineage is the ability to fully understand how data flows from one place to another within the infrastructure that was built to house and process it. It seems like it should not be a difficult problem, but it is. In fact, it is a huge issue for organizations as they face 2022 and beyond. If organizations do not know where their data comes from or goes, they have uncontrolled environments that have risk on many different levels. Having uncontrolled data environments means that it is also very difficult to extract value from data, and data is the new oil or new gold. Organizations that cannot extract value from data stand a good chance of being outcompeted and replaced by organizations that can.

Here’s a list of categories that are the key pillars to today’s Modern Data Stack. Inside each, you’ll find the most popular companies within that category.

The field of data science is continuously growing, subsequently, there are a ton of career roles available for one to choose from within the data science domain. This blog lists down some of the most emerging career options in data science one can opt for.

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

Few organizations take full advantage of data generated outside their walls. A well-structured plan for using external data can provide a competitive edge.

Rapidly accelerating technology advances, the recognized value of data, and increasing data literacy are changing what it means to be “data driven.”

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix

Business intelligence white papers on BI industry trends, and the latest BI and analytics analyst reports from Gartner, Dresner, BARC and Forrester.

At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop things–in this case, your IT systems that are subject to the ever-growing data crush.

But there are fundamental differences to these two approaches, so it’s worth taking some time to learn their differences.

Gartner Top 10 Data and Analytics Trends for 2021

12 technology trends that will help shape the future of digital business.

This year, customers will do a lot more than window shop, so we’re gathering the data and statistics and putting the insights on display. Download the Holiday Forecast 2021 report to understand when, how, and what consumers plan to spend money on this season, and use our findings to create shopping experiences your customers want. We know you’re excited. So come, take a close-up look, but hands off the glass, please.

E-commerce conversion rate and lead generation stats compilation desktop and mobile devices benchmarking averages across different industries

Dans ce profil, vous trouverez :

1. Une revue historique de la position du Québec en matière d’intelligence artificielle;
2. Une définition de la main-d’œuvre du secteur;
3. Un portrait global de l’emploi ;
4. Une taxonomie des métiers de l’intelligence numérique – que nous définissons comme étant la main-d’œuvre spécialisée en intelligence artificielle ainsi que les métiers périphériques essentiels reliés ;
5. Des fiches métiers traitant de l’estimation du bassin de talents et incluant de multiples informations spécifiques salaires, tâches principales, référentiel de compétences techniques et transversales);
6. Une répartition industrielle des métiers de l’intelligence numérique
7. Un portrait de la demande de compétences et de la formation, incluant les forces et défis concernant ce profil  de talents qui change à une vitesse déstabilisante.
8. L’ensemble de nos données sur l’utilisation des outils numériques, sous la forme de matrices Emploi/Outils numériques et technologies, en annexe du document.

"Everything that should be happening over a five-, 10-year period is happening now," said Pete Madden, a director with AlixPartners. "It's a rethink, it's expensive, and it's on top of expense that has already happened."

Survey results show employees are feeling anxious about post-pandemic working arrangements and the future of remote work, even if you don’t yet know what to tell them.

Monthly statistics on taxi, Uber, and Lyft usage in NYC

In our in-depth playbook, we cover everything you need to know about:
The benefits of a Customer Data Platform;
Getting started with tried-and-true use cases;
Building a team with the right skillsets for any size organization;
Securing buy-in from executives across the company;
Measuring the ROI of CDPs to prove value to different stakeholders

20 years ago Apple seized music, and turned it into a lever for its broader business. It failed to do the same to TV, and lost control of music, but won massively in games, where it now makes more money than the entire global digital music industry. Now, perhaps, it’s looking at advertising.

How to build a modern, scalable data platform to power your analytics and data science projects.

Read this report from Gartner to learn

• How the shift to more dynamic, augmented analytics will result in the decline of the predefined dashboard
• How augmented analytics is changing how less skilled users find insights and interact with data
• Why business agility enabled by the cloud is more critical now than ever
• Non-technology trends that are critical to success

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.