Remove Business Intelligence Remove Dashboards Remove Experimentation Remove Reporting
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Top 8 predictive analytics tools compared

CIO Business Intelligence

Predictive analytics tools blend artificial intelligence and business reporting. The results appear in a collection of dashboards or automated graphical visualizations. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation.

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How Gupshup built their multi-tenant messaging analytics platform on Amazon Redshift

AWS Big Data

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. This compiled data is then imported into Aurora PostgreSQL Serverless for operational reporting.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide.

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3 force multipliers for digital transformation

CIO Business Intelligence

While digital initiatives and talent are the board directors’ top strategic business priorities in 2023-2024, IT spending is forecasted to grow by only 2.4% Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Your Chance: Want to build professional CRM reports & dashboards? Your Chance: Want to build professional CRM reports & dashboards?

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Unfortunately, the business impact of many digital transformations continues to fall short of expectations. For example, KPMG reports that 51% of technology executives have not seen an increase in performance or profitability from digital transformation investments.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.