Smart Data Collective

NOVEMBER 18, 2020

Therefore, machine learning is of great importance for almost any field, but above all, it will work well where there is Data Science. Data Mining Techniques and Data Visualization. Data Mining is an important research process.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

BI Insight

OCTOBER 19, 2015

Without a doubt cloud computing is going to change the future of data analytics and data visualisation very significantly. Microsoft Azure SQL Data Warehouse recently released for public preview. The post Azure SQL Data Warehouse and Power BI appeared first on BI Insight.

Data Warehouse 100

Data Warehouse Cloud Computing Data Analytics Data Analytics 100

BI Insight

JANUARY 18, 2016

Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register and subscribe for Pass upcoming events here.

Data Warehouse 100

Data Warehouse Business Intelligence Business Intelligence Data Visualization 100

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

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

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

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

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 Data Quality 52

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

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

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. Each of that component has its own purpose that we will discuss in more detail while concentrating on data warehousing. Data integration.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

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

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

The BAWorld

FEBRUARY 18, 2025

Creates data models, streamlines ETL processes, and enhances Power BI performance. ollaborates with analysts and IT teams to provide smooth data flow. Mid-Level Positions (4-8 years experience) Senior Power BI Data Analyst: Directs data visualization projects, enhancing report usability and design.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

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

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

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

Domo

MAY 24, 2021

Cloud data integration requires different tools and capabilities than integration for system applications. It is focused on accessibility of the data from any source, allowing business users to create visualizations—with the flexibility and the power of the cloud. Emphasize performance, cost reduction, and control.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

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

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

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

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

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

Sisense

AUGUST 22, 2019

This means that every exercise is a complex challenge of data engineering, and even when the work is done the results are removed from your visualization and reporting solutions. 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

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

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

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Ad hoc data analysis is the discoveries and subsequent action a user takes as a result of exploring, examining, and drawing tangible conclusions from an ad hoc report.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. click for book source**. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

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