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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Organizations are making great strides, putting into place the right talent and software. A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place.

Analytics 205
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Should You Move Your Data Analytics to the Cloud?

Datavail

Answers to any question across business processes. A 360° view of any person or organization that touches the company. Systems to respond quickly and cheaply to changes in business conditions or acquisitions. Organization-Wide Analytics. Your Organization’s Business Intelligence Maturity. Scalability.

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Oshkosh puts digital solutions into overdrive

CIO

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 148
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Oshkosh puts digital solutions into overdrive

CIO

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 148
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Building a Data Foundation Pillar #4: Data Management and Integration

Datavail

Both data management and data governance have similar goals: ensuring that everyone within the organization can enjoy continued access to the high-quality, accurate data that they need to effectively do their jobs. Backed up by a solid data governance strategy, data management is the key to achieving world-class, data-driven decision-making.

Data 98
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Why Companies Are Moving Their Analytics to Azure Cloud

Datavail

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises. Look for “quick wins”.

Azure 98
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Top 7 Challenges of Moving Data Analytics to the Cloud

Datavail

Guiding Your Organization Through the BI Maturity Stages. The questions you’ll need to answer will depend on where your organization is in terms of Business Intelligence (BI) maturity. Measuring and monitoring the business: Reports that help measure performance and monitor what is happening in the business.