article thumbnail

Why Are Organizations Focusing on Data Security?

Smart Data Collective

Other crucial company information includes risk mitigation procedures, revenue optimization, etc. A well-established corporation would not want such data to fall into the hands of its competitors. A leak of such data could result in irreparable losses. Therefore, it is safe to say that data is a crucial company asset.

article thumbnail

How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

In December, we announced the general availability of IBM Hybrid Cloud Mesh , our multicloud networking solution that can support IT in their journey to optimize application performance with reliable network connectivity. Keeping up with business-critical application performance spread across complex networks is now an issue of the past.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Casinos Post COVID-19: Preparing For The Reopening

BizAcuity

Like setting up a more advanced CRM, updating the slot machines that come with in-built revenue optimization tools, developing a better website equipped with upsell modules that can generate more revenue per user, and much more.

article thumbnail

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. Data analytics technology is becoming a more important aspect of business models in all industries. SaaS companies are no exception.

Modeling 111
article thumbnail

A Guide to Data Analytics in the Travel Industry

Alation

Some companies struggle to optimize their data’s value and leverage analytics effectively. Below are a few examples: Revenue management and optimization Big data analysis enables companies to make data-driven decisions about pricing based on historical transactional data. What are common data challenges for the travel industry?