When determining where to make your key investments for the year, how do you factor in trends from the broader data and analytics sphere of business? Any examples of how D&A trends impacted your key investments for 2024?

Data & Analytics Strategy & Architecture Process Management

180 views3 Comments

Sort By:

Oldest

Senior Data and Analytics Leader in Government2 months ago

You've got to stay current without losing sight of what actually matters for your business. It's a constant juggling act, but when you get it right, it's pretty rewarding.

For 2024, we've been particularly influenced by a few key trends:

--AI and Machine Learning
--Data Mesh Architecture
--Data Governance and Privacy
--Cloud Data Warehousing
--DataOps and MLOps

CEO in Transportation2 months ago

D&A investment spend is only a small part of our overall annual investment decisions. That said, within the IT area it is becoming more significant. While a relatively small amount it has become a high priority area. We are taking more risk on the expected returns, though we remain focused on AI and ML applications that can generate a real return. We have applied the Gartner AI four quadrant framework with a focus on the internal productivity zones. We don't plan on one or two big bets but we see the trends leading us to making many small bets.

Please join or sign in to view more content.

By joining the Peer Community, you'll get:

Peer Discussions and Polls
One-Minute Insights
Connect with like-minded individuals

VP of Data in Consumer Goods2 months ago

The process in Arca Continental is to identify business opportunities and continuously evaluate technology to solve those problems.

Some of them are in the “freezer” because either the process or technology is not there yet, however the business case exists. This helps us “unfreeze” investments and start working on those when new technology arises.

For example in the case of GenAI we hired a new team to help us explore, test and deploy solutions for key processes and interactions.

Content you might like

How concerned are you about risks related to AI deepfakes in your industry?

Data & Analytics Disruptive & Emerging Technologies News

Extremely11%

Moderately70%

Slightly19%

Not at all

View Results

227 views

What master data management implementation styles have you worked with (e.g., registry, consolidation, coexistence, centralized, etc.)? What were your main takeaways about these styles?

Data & Analytics Strategy & Architecture Applications & Platforms

Director of Data4 days ago

In our implementation of Master Data Management (MDM), we primarily adopted a centralized approach using Microsoft Dataverse. This was key to resolving data quality and consistency issues in our Power Platform solutions, ...read more

61 views1 Upvote1 Comment

How have advancements in AI impacted your master data management strategy?

Data & Analytics Disruptive & Emerging Technologies Strategy & Architecture

Director of Data4 days ago

In my opinion, Advancements in AI and related data field have significantly enhanced our Master Data Management (MDM) strategy by automating data quality, integration, and governance processes. AI algorithms help identify ...read more

32 views1 Comment

How much of your organizations budget goes towards new technology?

Strategy & Architecture Financial Management

<1-2%30%

3-5%46%

>5%23%

View Results

10.9k views7 Upvotes5 Comments

What impact, if any, has generative AI had on data management practices within your organization?

Data & Analytics Generative AI Process Management

Director of Data & AI Services in IT Services8 days ago

Generative AI exposes the gaps in the data management practices within the organization. You can compare this to the concept of security by obscurity - so far even if the data management practices were not mature, it was ...read more