How adopting a framework can optimize cybersecurity
Today’s threat landscape has created new challenges for security analysts and incident responders, as the number of alerts and their complexity have increased significantly. Organizations with small IT teams are overwhelmed, often lacking the time or resources to investigate every alert. Failing to do so means a high-risk threat might go unnoticed. This can result in a devastating breach, damaging an organization's finances and reputation.
This white paper discusses how CrowdStrike is solving these challenges, by implementing the MITRE ATT&CK™ Framework across multiple CrowdStrike processes and product features to help improve analyst’s productivity and prevent breaches. This provides many benefits, including time savings; adding advanced context to security alerts and information; and enabling a common, shared language. However, it also provides some hidden advantages, especially concerning cybersecurity.
Read this whitepaper to lear
CSO Insights analysts gathered 100+ metrics from 1,500+ sales executives to develop insights on three key areas:
• the challenges facing their sales teams
• why those problems exist
• how they are successfully reengineering their teams to overcome those challenges
Based on this data, the whitepaper How to Build a World-Class Sales Organization clearly outlines how to increase productivity and collaboration so reps can spend more time selling.
Published By: Datawatch
Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
Published By: Datawatch
Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
Published By: ServiceNow
Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees.
Download this case study to learn more
Recently, industry analysts have focused on new authentication methods; however, maybe passwords aren’t dead. In today’s world, passwords are still a big part of life but resetting them still drains the life from IT productivity. Slay that monster.
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.