Sisense

APRIL 24, 2019

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. For example, let’s assume 200 sales have been made in the year 2016, and we want to query for the number of sales per customer in 2016.

Data Warehouse 111

Data Warehouse Data Modelling 111

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. 2016: Oracle launches with competencies across compute, storage, and networking. There is Alibaba Cloud, Turbonomic, Terremark etc.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

BI Insight

NOVEMBER 19, 2018

In real world SSAS Tabular projects, you need to run many different testing scenarios to prove your customer that the data in Tabular model is correct. The post Automate Testing SSAS Tabular Models appeared first on BI Insight.

Data Warehouse 187

Data Warehouse Business Intelligence Business Intelligence 187

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

BI Insight

NOVEMBER 19, 2018

In real world SSAS Tabular projects, you need to run many different testing scenarios to prove your customer that the data in Tabular model is correct. The post Automate Testing SSAS Tabular Models appeared first on BI Insight.

Data Warehouse 130

Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 17, 2015

I look forward to another rewarding experience at the 2016 Summit. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

I look forward to another rewarding experience at the 2016 Summit. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Do We Still Need a Data Warehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. I look forward to another rewarding experience at the 2016 Summit. Interactive Visualizations for Everyone – Rita Sallam. Mobile BI – It’s Time to Innovate – Bhavish Sood.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 204

Business Intelligence Business Intelligence Logistics Data Warehouse 204

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.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 130

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 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. 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. 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

DECEMBER 5, 2016

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. ’ Original Source – Guarantee BI Success: Achieve!

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

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. ’ Original Source – Guarantee BI Success: Achieve!

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

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. Data Source and Data Structural Review. ’ Original Source – Guarantee BI Success: Achieve!

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

Insight Software

APRIL 20, 2023

Microsoft is Ending Support for Management Reporter Microsoft announced in 2016 that it would no longer be developing Management Reporter moving forward. You may be wondering, if Management Reporter is such a great reporting tool for D365 users, why are we talking about it on the insightsoftware blog? Well, there’s the rub.

IBM Support 52

IBM Support Supply Chain IBM Maintenance E-Commerce 52