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Business Intelligence

About this topic

Analytics and business intelligence (ABI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.

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Chris Oehlerking

Chris Oehlerking

Honeywell

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United States
Rajnish Malhotra

Rajnish Malhotra

Emergent Biosolutions

Healthcare and Biotech, 1k - 5k

United States
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Clifton Persaud

ISACA

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Community Posts

What's a quick win for optimizing spend? What's been your focus or "lowest hanging fruit"?

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What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

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Can you define AI in five words or less?

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Which business function do you see the most need for automation?

Sales11%

Marketing30%

Accounts Payable22%

Accounts Receivable14%

Legal5%

HR12%

Other (pls comment)3%

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Which CRM (Customer Relationship Management) solutions are you currently using for your business!? What are their Pros & Cons!?

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Open Response: What SaaS tool could you/your organization truly not live without?

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Which enterprise data backup software do you use to backup your on premise File servers, SQL databases, Exchange mailboxes, and virtual machines? Please share your recommendations.

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Is AI/ML a game-changer for security, or overhyped?

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

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

Public Cloud71%

Private Cloud28%

What headline-trend or buzzword makes you cringe the most?

Big Data16%

Remote Work19%

Microservices / Containerization13%

CI / CD7%

Zero-Trust15%

Automation2%

Digital Transformation17%

Cloud / Cloud Native2%

DevOps or DevSecOps3%

Other (comment)1%

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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 are the standard Service level indicators used when creating SLA document for Data Engineering products? I assume indicators like when new data will be populated for data products (all the previous day business transaction will be available by 9am, all source transaction reflected with in 30 mins etc) and accuracy and quality would be important. Is there Industry standard Indicators used to represent data product SLA? It would be amazing someone could share what they are using.

What are your thoughts on SaaS management platforms (SMP)?

What are you looking for when buying data security solutions for IT?

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How do you consume third party data? In reports? Dashboards? Do you ever purchase raw data (feeds)?

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