ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Business Intelligence 130

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. There is Alibaba Cloud, Turbonomic, Terremark etc.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Data Pine

AUGUST 29, 2022

It was lately revised and updated in January 2016. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W. Best for: a somewhat technical reader who is good with Excel, but doesn’t know much about data science. Khan Analytic Philosophy: A Very Short Introduction by Michael Beaney.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Data Access. Data Sharing and Reporting. Our second article in this series is entitled, ‘ Guarantee BI Success: Achieve! Accomplish! Do it Right!’

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

DECEMBER 5, 2016

Consider advanced analytical requirements like Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

Consider advanced analytical requirements like Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

Consider advanced analytical requirements like Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130