Ontotext

JULY 26, 2019

In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry.

Technology 75

Technology Enterprise Data Integration Management 75

Ontotext

JULY 26, 2019

In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry.

Technology 40

Technology Data Integration Enterprise Structured Data 40

Domino Data Lab

APRIL 3, 2019

Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Cloud gets introduced: Amazon AWS launched in public beta in 2006. Mobile gets introduced: the term “ CrackBerry ” becomes a thing in 2006, followed by the launch of the iPhone the following year.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JUNE 30, 2023

Position 2 was established in 2006 in Silicon Valley and has a clientele spanning American Express, Lenovo, Fujitsu, and Thales. We know there are many businesses out there facing similar challenges. This led us to build Arena Calibrate by using the best ML algorithms, data connectors, and business intelligence (BI) platforms.

Marketing 52

Marketing Dashboards Advertising ROI 52

BizAcuity

MAY 10, 2022

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Hadoop was developed in 2006. Amazon launches AWS (but no cloud solutions yet). The pain point?

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Along with your database servers, you had, data warehousing and business intelligence. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

JULY 29, 2020

Migrating to the more complex and expensive Oracle Business Intelligence Enterprise Edition (OBIEE). Because Discoverer has been non-strategic since 2006, it’s a challenge for IT to successfully write reports. Interactive dashboards that provide reports with a rich variety of visualization tools. But does OBIEE stack up?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Occam's Razor

FEBRUARY 7, 2011

And to visualize it in a report. Without knowing what you want to show it is hard to make a recommendation as to how to visualize. There is no upper limit to effective ways to visualize data. There is no upper limit to effective ways to visualize data. But if it helps I love Tag Clouds , Keyword Trees , and Motion Charts.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

datapine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. 4) Misleading data visualization. Whatever the types of data visualization you choose to use, it must convey: – The scales used.

Statistics 363

Statistics Advertising Visualization Data mining 363