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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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Sept 2024

How are U.S. CISOs Addressing Liability Risk?

New regulations taking effect in the U.S. mean that cybersecurity leaders could face legal liability in the event of an incident. What strategies are they using to protect themselves?
How are U.S. CISOs Addressing Liability Risk?

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Community Posts

We observed Microsoft Fabric is a emerging data platform in the Market. Can you recommend any comparisons done between Microsoft Fabric and other data platform product in AWS, Databricks or Google?

How do you ensure data hosted in public clouds or on-premises is secure? (select all that apply)

Iaas/PaaS/On-premise DLP solution10%

Iaas/PaaS/On-premise UEBA solution28%

Access Management solution22%

SWG Solution (Secure Web Gateway)7%

SEG Solution (Secure Email Gateway)6%

Firewall solutions9%

Antivirus Protection6%

Cloud Security Posture Management (CSPM)3%

Other6%

No Protection

We don’t host data in public clouds or on-premises

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Which Zero Trust solutions are most effective at protecting data at the enterprise level?

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Who has worked on a contract renewal with Ab Initio and what challenges did you find and how did you overcome them? We have an old contract with productivity clauses that state if we improve how we run reports they can charge us more.

Why haven't you deployed software-defined storage at your organization?

Lack of Flexibility15%

Vendor lock-in32%

Lack of knowledge19%

Can't integrate with current infrastructure (another data silo)9%

Not in the budget12%

Not Applicable9%

Other (please specify)3%

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Where does open source fit into third-party/supply chain risk?

What are some of the biggest ethical dilemmas facing AI? https://www.cio.com/article/3439758/confronting-ai-s-ethical-dilemmas.html

What web crawlers or web scraping tools have you found to be most effective?

We use Microsoft PowerBI extensively at the company. Over 15,000 reports.
For our "corporate" reports, like financials or HR, we centralize those requests and attend them with my team.
We currently "extract" information from multiple systems (ie. SAP, SuccessFactors, CRM, etc...) and put in into a SQL Analysis Services. For interpreting the data we have a Semantics model in PBI.
The problem I see is we can't scale enough to comply with the reporting demands as the semantic model is "unique" and we end up having only one or two developers that can work at a time. 
Anyone has an idea how to scale their PBI teams without having to redevelop the semantic model per report?

What do we think would be the impact of Salesforce acquiring Informatica especially if you are not using Salesforce stack? Will Salesforce alter the roadmap of Informatica modules like MDM? Would it be a risk to evaluate Informatica modules for data management if you are SAP stack?

Can artificial intelligence replace the need for human data analysts in the future?

Yes73%

No26%

Other - please share your thought in the comment.1%

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As we see the news on Sam Altman leaving OpenAI and the explanation of his exit, I wanted to tap into this community's power to understand your reading on this decision. What do you think?

Are we on the road to enabling better data protection and privacy regulations for private enterprise organizations?

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What are some great tools or suggestions that has the capability to analyze complex SQL queries and extract or summaries the table structure embedded in a query?

Should we rely on Machine Learning for Security Practices?

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Have your KPIs for your team changed with remote working? Are you enhancing / or altering the way you're tracking productivity? How (any good tools)?

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