Smart Data Collective

SEPTEMBER 25, 2019

That same year, as well as in 2013, there were two separate instances of more data loss via misplaced USB drives. The devices containing the data were not encrypted. In one case occurring in June 2018, the University of Texas’s MD Anderson Cancer Center received a $4.3

Cybersecurity 216

Cybersecurity Data Quality Planning Data Management 216

Tableau

JANUARY 27, 2021

We’re driven to help organizations promote trusted, governed data and analytics broadly so everyone can make decisions confidently. This starts with getting people up and running, which is why we simplified license management for IT and administrators.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

Tableau

JANUARY 27, 2021

We’re driven to help organizations promote trusted, governed data and analytics broadly so everyone can make decisions confidently. This starts with getting people up and running, which is why we simplified license management for IT and administrators.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Monday

MAY 31, 2021

Common problems faced by individuals when managing projects. Some of the common challenges are: Inefficient data management and reporting. Inadequate risk management. Lousy self-management. In 2013, he masterminded an OKR strategy to improve sales (long-term goal) through increasing sales per hour (micro-goal).

Project Management 59

Project Management Innovation Planning Visualization 59

GAVS Technology

SEPTEMBER 8, 2021

The healthcare industry has more information than it can possibly make sense of, and it is likely that this data explosion will only continue to grow with time. In 2013, the same figure was 5,500 miles – the rise is staggering. Data management capabilities should be equally prioritized.

Healthcare 40

Healthcare Procurement Artificial Intelligence Data Management 40

Data Pine

MAY 14, 2019

Why You Need To Read Data Science Books. Before we tell you why each of our entries makes the best books on data science, it’s important to give you a little context on this most exciting of modern fields. In 2013, less than 0.5% of all available data was analyzed, used, and understood.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Astera

DECEMBER 29, 2023

Data vault modeling combines elements from both the Third Normal Form (3NF) and star schema approaches to create a flexible and scalable data warehouse architecture. Do You Really Need a Data Vault? Data Vault 2.0 modeling methodology has gained immense popularity since its launch in 2013.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Data vault modeling combines elements from both the Third Normal Form (3NF) and star schema approaches to create a flexible and scalable data warehouse architecture. Do You Really Need a Data Vault? Data Vault 2.0 modeling methodology has gained immense popularity since its launch in 2013.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Data Pine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. Behind the scenes.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

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

Smart Data Collective

AUGUST 27, 2020

Credit card companies used to brand their big data strategies as a clear benefit. MasterCard announced the use of big data to help consumers more back in 2013. To start with, retailers who want to perform an online transaction with you may ask if you’d like to have your card data stored online.

Retail 200

Retail Banking Big Data Cybersecurity 200

Sisense

DECEMBER 11, 2019

Kyle said: We empower data analysts to create more business value than any other BI platform. These customer examples demonstrated how impactful smart data management and analytics can be for every part of customer organizations, from data teams to marketing, sales, and beyond.

Embedded Analytics 80

Embedded Analytics Big Data Data Discovery Innovation 80

Whizlabs

APRIL 19, 2021

Jason is the author or coauthor of four books – The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! His expertise ranges from cloud platform, data management, database management systems, machine learning, analytics, robotic process automation, chatbots and enterprise resource planning (ERP). .

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

MARCH 4, 2020

And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes. It’s projected that healthcare data is expanding faster than in manufacturing, financial services, and media.

Healthcare 94

Healthcare Digital Transformation Government Big Data 94

Smart Data Collective

MARCH 16, 2020

The professional conference Digital Health Summit was held at the CES in Las Vegas in January 2013. Among other issues, the conference proposed reducing healthcare costs through the use of big data and machine learning tools. It will be especially important in the United States as we discuss transitioning to a Medicare for All System.

Healthcare 202

Healthcare Big Data Documentation Digital 202

Insight Software

MAY 1, 2023

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Strategic Objective Enjoy the ultimate flexibility in data sourcing through APIs or plug-ins.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52