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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model.

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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.,

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. 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.

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Using Data to Adapt Your Workforce

Sisense

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal” to keep essential services functioning. Nurit Shiber, Chief People Officer, Sisense.

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The Digital Transformation of your Planning Process

Jedox

Digitalization is tactical – automating activities, for example, while Digital Transformation is strategic – focusing on improving overall business processes and increasing business value. Digital transformation is much more than a buzz word. Business (planning) logic.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics.

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Modern Data Architecture for Telecommunications

Cloudera

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. The challenges.