Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. If it’s not done right away, then later.

Documentation 264

Documentation Data Visualization Data Mining Visualization 264

Sisense

JUNE 30, 2020

One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming. Data visualization: painting a picture of your data. Data visualization: painting a picture of your data.

Data Visualization 93

Data Visualization Visualization Predictive Analytics Data Warehouse 93

BI Insight

NOVEMBER 7, 2023

Microsoft Fabric is a SaaS platform that allows users to get, create, share, and visualise data using a wide set of tools. It provides a unified solution for all our data and analytics workloads, from data ingestion and transformation to data engineering, data science, data warehouse, real-time analytics, and data visualisation.

Data Warehouse 228

Data Warehouse Monitoring Data Visualization Visualization 228

Smart Data Collective

DECEMBER 13, 2022

Five Best Practices for Data Analytics. Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Select a Storage Platform.

Visualization 350

Visualization Data Analytics Data Analytics Artificial Intelligence 350

ElegantJ BI

FEBRUARY 14, 2017

The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)! Self-serve data preparation and analysis saves money and time!

Business Intelligence 162

Business Intelligence Business Intelligence Data Discovery Data Visualization 162

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

Data Warehouse 52

Data Warehouse Agile Data Modelling Big Data 52

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

ElegantJ BI

FEBRUARY 14, 2017

The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)! Self-serve data preparation and analysis saves money and time!

Data Discovery 130

Data Discovery Data Visualization Business Intelligence Business Intelligence 130

ElegantJ BI

FEBRUARY 14, 2017

The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)! Self-serve data preparation and analysis saves money and time!

Data Discovery 130

Data Discovery Data Visualization Business Intelligence Business Intelligence 130

Insight Software

JANUARY 20, 2021

This process of extracting , transforming , and loading data into a central repository is commonly known as “ETL.” ” It’s one of the fundamental building blocks of a data warehouse, and for companies that wish to provide robust, flexible, and comprehensive reporting, ETL is invaluable.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

BizAcuity

MAY 16, 2022

Whereas, integrating data sources can provide you with a picture of where your customer is coming from, how long they spend on your website, what can be improved in the entire buying process among others. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Tableau

APRIL 3, 2021

Always pushing the limits of what the tool is capable of, showing the world the power of data, and challenging thinking about the world of analytics and data visualization. They shifted from a practice of simply reporting to looking at visualization as more of a data product enhanced by product development practices. .

Design Thinking 101

Design Thinking Data Visualization Data Warehouse Visualization 101

Sisense

JANUARY 1, 2020

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. D3 Data Visualization ?—

Digital Transformation 98

Digital Transformation Data Warehouse Embedded Analytics Artificial Intelligence 98

Data Pine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Domo

APRIL 14, 2021

1 – Empowering Your Organization Through Integration, Transformation, and Applied BI Strategies ( WATCH ) The last mile of analytics is more than just data visualization. Trimble was losing clients because of the inability of the prior data warehouse to scale,” said Ament, Trimble’s Data Warehouse Manager.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

BI Insight

JANUARY 25, 2016

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

BI Insight

JANUARY 25, 2016

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

Data Pine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Domo

JUNE 15, 2022

Here’s a more detailed look at the primary ways Domo’s multi-cloud capabilities can benefit your business: 1 – Integrate more data, faster. Whether you have a few cloud data warehouses or dozens, Domo connects to each one with ease, ensuring you don’t miss a single insight.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

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

Domo

JULY 28, 2022

We wanted something cloud-based that provided us a solution from data visualization all the way to the back end with data processing, if we needed. And we wanted to bring our own data engineering group. It ties together data for self-serve transportation reporting capabilities on top of our enterprise data warehouse.

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Cut costs by consolidating data warehouse investments.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Cut costs by consolidating data warehouse investments.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Sisense

JANUARY 9, 2020

Like the name says, Sisense for Cloud Data Teams is a product built specifically for data teams that work in the cloud. It still supports creating and sharing advanced data visualizations. The Sisense vision for data teams is evolving beyond simply allowing them to uncover valuable insights in data.

Vision 93

Vision Data Warehouse Data Visualization Innovation 93

BizAcuity

MARCH 28, 2022

The data points related to users/players reside across multiple channels and platforms i.e. websites, apps, CRMs, Ad networks, and financial software. A data management strategy including business intelligence (BI) tools, data visualization software, and a data warehouse, maybe good ideas to consider.

User Experience 130

User Experience Data Warehouse Planning Data Visualization 130

Data Pine

JANUARY 24, 2021

You don’t have to do all the database work, but an ETL service does it for you; it provides a useful tool to pull your data from external sources, conform it to demanded standard and convert it into a destination data warehouse. ETL data warehouse*. 8) What data visualizations should you choose?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

Sisense

AUGUST 22, 2019

Database access and data modeling in SQL should happen within the same platform that Python and R are used so that analysts can rapidly iterate on both datasets and models simultaneously. Data visualization should be easy and flexible, allowing the analyst to explore their data at the speed of thought. .

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Domo

JANUARY 9, 2013

Data visualization tools are easy to find. Good data visualization tools are a little more difficult. But getting the data visualization tool that finally meets your needs? Business intelligence and data visualization has been the province of the tech savvy, the IT department, and generally not you.

Data Warehouse 52

Data Warehouse Data Visualization Business Intelligence Business Intelligence 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Business Analysis Knowledge Share

MARCH 15, 2023

Understanding the key concepts of data warehousing, such as data integration, dimensional modeling, OLAP, and data marts, is vital for business analysts who are responsible for analyzing data and providing insights that drive business performance. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

DECEMBER 28, 2023

Airbyte vs Fivetran vs Astera: Overview Airbyte Finally, Airbyte is primarily an open-source data replication solution that leverages ELT to replicate data between applications, APIs, data warehouses, and data lakes. Like other data integration platforms , Airbyte features a visual UI with built-in connectors.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

DECEMBER 28, 2023

Airbyte vs Fivetran vs Astera: Overview Airbyte Finally, Airbyte is primarily an open-source data replication solution that leverages ELT to replicate data between applications, APIs, data warehouses, and data lakes. Like other data integration platforms , Airbyte features a visual UI with built-in connectors.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52