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Why Are Organizations Focusing on Data Security?

Smart Data Collective

Moreover, companies that interact with consumers directly rely on their data to provide them with better services and products. Such information includes financial data, quarterly reports, upcoming business strategies, marketing strategies, etc. Additionally, a lot of sensitive business information is exchanged digitally.

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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. In order to achieve this, many have utilized new technology and business strategies to provide solutions for customers. SaaS Sales Strategy. SaaS companies are no exception.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

At IBM, we’re committed to helping ensure that enterprises are putting connectivity at the center of their application-centric strategies and regaining control of network connectivity across a multi-cloud environment they don’t own. We hope you’ll join us at booth #2H20.

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Casinos Post COVID-19: Preparing For The Reopening

BizAcuity

With the news of the development of promising vaccines making the rounds and the infection curve seemingly stabilizing, the world has progressed into ideating strategies and action plans to safely transition into a post COVID 19 working environment. So, begin with resuming familiar and sure-to-work revenue management strategies.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Here are just a few impactful use cases Ive seen work: Customer churn prediction In telecom, retail banking and SaaS businesses, predictive models assess customer behavior patterns such as drop-in usage, delayed payments or negative service interactions and assign a churn risk score. Its a symptom of needing one. Is it clean? Who owns it?