ElegantJ BI

JUNE 17, 2015

Do We Still Need a Data Warehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. Interactive Visualizations for Everyone – Rita Sallam. Big Data Discovery – Rita Sallam. I look forward to another rewarding experience at the 2016 Summit.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Domo

AUGUST 25, 2016

Hal R.Varian stated, “The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades.” Fast forward to 2016 and many businesses would agree with Varian’s astute assessment.

Data Visualization 52

Data Visualization Visualization Business Intelligence Business Intelligence 52

GAVS Technology

JANUARY 7, 2021

Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.

Vision 52

Vision Artificial Intelligence Monitoring Big Data 52

Domo

APRIL 11, 2016

.” With Domo, Stance can finally make critical business decisions based on real-time data—no more guesswork. Our unique business management platform transforms complex data into easy-to-understand visualizations that enable everyone to understand the story behind the numbers.

Real-time Data 52

Real-time Data Finance Visualization Data Visualization 52

Domo

MARCH 22, 2017

Over the last year, Big Data has become increasingly more important for companies of all sizes. As data has become readily available, it has created an environment of opportunity but also uncertainty, as businesses compete with greater demands for information from customers and employees alike.

Real-time Data 52

Real-time Data Big Data Banking Data Visualization 52

Data Pine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

Domo

JUNE 28, 2016

These mobile connections alone generate more than 18 million megabytes of data every minute — and that’s just in the U.S. At Domopalooza 2016, General Stanley McChrystal said, “Data is exploding faster than our ability to put our arms around it, so you’re going to have to adapt.

Digital 52

Digital Innovation Data Visualization Big Data 52

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Smart Data Collective

MAY 31, 2023

Big data technology has significantly changed the marketing profession over the last few years. One of the biggest changes brought on by big data has been in the field of social media marketing. Analytics Insight talked about some of the many ways that data analytics is becoming more important for the social media giant.

Data Analytics 197

Data Analytics Data Analytics Big Data Visualization 197

Domo

JUNE 13, 2017

In an attempt to be helpful, analysts often pack reports, infographics and dashboards with lots of juicy information and visualizations. However, they don’t always have a clear sense of what the people consuming the data really need or want. Throwing data at a wall to see what sticks is a problematic approach that can induce data daze.

Big Data 52

Big Data Data Quality Visualization Data Visualization 52

Domo

MAY 2, 2017

I’ve seen various vendors tout the power of natural language generation (NLG) as a means of providing automated data storytelling. Rather than relying on “confusing” data visualizations, they feel descriptive text about the data is somehow better and easier for people to follow.

Data Visualization 52

Data Visualization Visualization Big Data Business Intelligence 52

Data Pine

DECEMBER 28, 2021

With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. Here they speak about two use-cases in which COVID-19 data was used in a misleading way. 4) Misleading data visualization.

Digital 145

Digital Healthcare Data Visualization Data Mining 145