Peer-Driven Insights

Data & Analytics

About this topic

Data and analytics refers to the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes.

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Jul 2024

CrowdStrike Outage: Impact And Recovery

From grounded flights to stalled out supply chains, the recent CrowdStrike Windows outage caused major disruptions across the globe. Read on to find out how Gartner Peer Community members were impacted, and how they're responding.

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Community Posts

I'm building most on... share "why" in comments...

Public Cloud72%

Private Cloud27%

Are smaller companies protecting their data risk management in the cloud or are banks and healthcare mostly concerned?

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Financial Services as a whole is well poised to use the tremendous amounts of data they have to take advantage of AI and machine learning. How are these CIOs approaching this?

https://www.forbes.com/sites/steveandriole/2019/07/10/how-cios-avoid-extinction-with-ai-ml-new-governance-for-digital-transformation-anything-else/amp/

What is your primary deciding factor in adopting enterprise search?

TCO18%

Pricing25%

Integrations20%

Alignment with Cloud Provider8%

Security10%

Alignment with Existing IT Skills5%

Product / Feature Set8%

Vendor Relationship / Reputation

Other (comment)

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What is the difference between advanced analytics, machine learning, and artificial intelligence?

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What tools do you use today to work with complex semi-structured data?

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What tools do you use today to work with complex semi-structured data?

Why do you think now is a good time for machine learning and AI? It's been around for a long time but you see it really catching on now in terms of business applications.

How do I go about setting a successful Master Data Management strategy?

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I'm trying to choose a BI tool, but I don't have a large budget, what would you recommend and why?

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We are beginning to start building a data warehouse. We are on AWS but it seems that Redshift, Bigquery and Snowflake are the big three data warehouse providers. Any recommendations on which is recommended based on experience.

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When you hear the term Voice Intelligence, what does this mean to you?

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What’s been the best way to optimize spend?

Eliminate Redundancy28%

Re-negotiate with vendors / take advantage of incentives46%

Shut down / pause what has been inactive13%

Update legacy and leverage emerging / more financially advantageous tools12%

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Have you implemented an analytics tool like Looker/ Tableau? Has it been successful? What drove the success/ failure?

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When it comes to sharing real time business analytics in your organization, what tools have you implemented? Any recommendations for a company under 100 people?

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