Remove Business Driver Remove Digital Transformation Remove Metrics
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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

With the increasing sophistication of cyber threats and the accelerated pace of digital transformation, organizations must be more proactive in identifying and mitigating risks. Its a business imperative, says Juan Perez, CIO of Salesforce. To respond, CIOs are doubling down on organizational resilience.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

When asked about the business initiatives that would be “most significant in driving IT investments at your organization,” IT leaders cited the following: Increasing cybersecurity protections: 49% Increasing operational efficiency: 46% Improving customer experience: 42% Transforming existing business processes (i.e.,

IT 135
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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Even the COVID-19 pandemic and the acceleration to digital transformation — when data and data insights became two of the main business drivers — haven’t improved the situation. A recent Experian survey found that 55% of business leaders don’t trust their data assets, hindering their ability to be fully data driven.

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Using Data to Adapt Your Workforce

Sisense

At this time, it might be tempting to let the HR side of your metrics go. Metrics can be used to measure the eventual success of hires, where they came from, what channels are positively correlated with eventual job success, the right mix of skills to deliver maximum productivity, and a lot more.

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BI Adoption Trends: Learn From the Companies That Do It Best

BI-Survey

ve been tracking this metric. Technical drivers. The primary technical drivers of increased usage are “self-service authoring tools” (73%), data preparation tools (48%), and “embedded BI/analytics” (38%). Business drivers. Regional and other variations.

IT 52
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Whatever happened to the three-year IT roadmap?

CIO Business Intelligence

This involves regularly reviewing value metrics for AI like adoption, sentiment, productivity, and effectiveness. A faster cycle helps maintain the momentum and adaptability needed to generate returns and align to key business drivers.

IT 119