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How to build a successful AI strategy

IBM Big Data Hub

An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives. Define clear objectives What problems does the organization need to solve? What metrics need to be improved? Interview department heads to identify potential issues AI could help solve.

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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

Salesforce certification overview Salesforce certifications are based on a role-based scheme centered on six roles: Administrator, Architect, Consultant, Designer, Developer, and Marketer. According to a study by Indeed.com , 70% of Salesforce developers in the US are satisfied with their salaries given the cost of living in their area.

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The Rise of the Data Executive

Sisense

Combining data, domain expertise, and an analytics platform opens up opportunities for “new revenue for your company and a ton of new value for your existing customers,” according to Sisense Managing Director of Data Monetization and Strategy Consulting Charles Holive. Data quality, availability, and security.

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What is Business Intelligence Consulting

BizAcuity

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

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What is Business Intelligence Consulting

BizAcuity

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

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The Third Pillar of Data Culture: Data Governance

Alation

Specifically, traditional data governance initiatives often: Take a boil-the-ocean approach, trying to solve every problem for every constituency. Require the proverbial busload of consultants and large consulting budgets to implement. Emphasize compliance at the expense of access, thereby alienating would-be data consumers.