NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

Data Cube Operations – SQL Queries

Perficient Data & Analytics

OLAP cubes can display and sum large amounts of data while also providing users with searchable access to any data points so that the data can be rolled up, sliced, and diced as needed to handle the widest variety of questions that are relevant to a user’s area of interest.

Oracle BI vs Tableau vs Microsoft BI

Perficient Data & Analytics

Slice and dice of data in complex dashboards, through prompts, filters navigation, comparison etc. Introduction.

What is Automated Data Discovery?

Octopai

– Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? Put on your virtual safari helmet and sharpen your navigation skills. We’re going on an expedition of discovery.

Common Business Intelligence Challenges Facing Entrepreneurs

datapine

Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data.

Data in the Modern Space Age

Kirk Borne

Some of these technologies are as ubiquitous across today’s world as sliced bread. Whether they are commonplace and widely adopted, or else still in R&D, what powers practically all of them is not sliced bread, but sliced and diced data!

Deliver AI-Powered Analytics Apps on Cloud-Native Sisense

Sisense

Currently, data-driven decision making is based on the business users’ ability to successfully filter, slice, and dice known KPIs they want to track and improve upon. Introducing Sisense Release Q3 2019.

How to Streamline Report Management to Enhance Your Data-Driven Business

Sisense

A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Blog.

Waking Up The World of Big Data

Sisense

All these devices funnel more and more bits of data into warehouses and lakes the world over and that data is bought, sold, shared, sliced, diced, and drilled into to reveal a wide array of insights (it also gets totally ignored until someone figures out what to do with it). The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not.

Go Beyond BI. You Need DI. 4 Ways to Take Data-Driven Business to the Next Level

Sisense

Once you’ve asked the crazy questions, empower your business users to slice and dice the data. Ask any business leader worth their salt if their business is data-driven and they’ll say “Of course we are.” Any other response would soon see them out of a job.

Will AI Increase the Reach of BI and Analytics?

Birst BI

No longer will the business user need to slice and dice the data or ask for more data to answer a business question. The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1].

Data Storytelling: What's Easy and What's Hard

Juice Analytics

Putting data on a screen is easy. Making it meaningful is so much harder. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard.

The Backbone of Operations in the Car Rental Industry

Perficient Data & Analytics

To effectively slice and dice this data requires Big Data technology. Digital transformation can absolutely be thought of as improving a website through which a car rental company sells its used vehicles – an important source of revenue for the company. It can also be thought of as enhancing a mobile app that enables customers to make, modify, or cancel reservations, view a car’s mileage and features, or track a car rental shuttle.

What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. Retailers are focused more than ever on quickly adjusting to changing customer preferences and demand.

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

The information can be sliced and diced using analytical dashboards and interactively explored navigating through the knowledge graph. Modern medicine and the Pharmaceutical industry have made tremendous breakthroughs over the past few centuries. From the discovery of penicillin to gene editing, Life Sciences and Pharma have helped treat and prevent many life-threatening diseases.

The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! The world of digital analytics seems to be insanely complicated. And, yes, some of it is. Third-party or first-party cookies anyone?

Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #4: Multi-dimensional Slicing and Dicing! Short story #4: Multi-dimensional Slicing and Dicing! I like the option to slice by inequality index rating of the country ( GINI rating ). Like a vast majority on planet Earth, I love data visualizations.

So Far, VR-Enabled Data Visuailzation is Nonsense

Perceptual Edge

In the not so distant future, I picture the average Joe or Jane regularly making use of their spatial intelligence to slice and dice big data of any kind, because everyone has the basic skill-sets required to play Sherlock Holmes in mixed reality.

It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it.

Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

I'm excited about the power of a well created dashboard. It is a thing of beauty and a source of immense joy. Oh, and of course a critical element for any company's path to glory. Dashboards are every where, we will look at a lot of them in this post and they are all digital.

Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

Dimensions allow you to group your data into different buckets and they are most frequently used to slice and dice the web analytics data. It is surprising how often these "simple" things come up. "What

Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Very often at Analysts and Researchers we are so into the data, slicing and dicing it, and in trying to get something decent out of that work, that we fail to actually see the data. The difference between a Reporting Squirrel and Analysis Ninja? Insights.

Data scientist as scientist

The Unofficial Google Data Science Blog

As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.

Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

If you are a content site, this means the ability to slice and dice your data by author names, content type, subscribers and free-loaders, commentators and non-commentators, and so much more to bring a new layer of insights.

Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

Every indicator we have is that companies are investing more in every facet of analytics. Tools. People. Consulting. Processes. Yet, it is unclear if that increase in investment is being followed by a commensurate increase in value delivered to the organization's bottom-line.

Rock Analytics More: Obsess About Goals And Goal Values!

Occam's Razor

If we have it, we can slice and dice it like crazy (where do these people come from, what content do they like, what internal searches drive more or less time spent, etc. If you don't have goals, you are not doing digital analytics.