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 ?—

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

datapine

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 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Photo by Chris Ried on Unsplash. What is Business Intelligence? BI dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

AUGUST 14, 2020

For open-source reporting tools, you can refer to this article? The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. In the end, in the data presentation level, display data insights in the form of reports and visual charts.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. The recent rise of cloud data warehouses like Snowflake means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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 Science vs Data Mining: Concluding Thoughts.

Data mining 143

Data mining Data Science Informatics Statistics 143

Cloudera

SEPTEMBER 29, 2022

There also seems to be no coherent path from where they are now with their data architecture to the “ideal state” that will allow them to finally realize their dream of becoming a “data-driven organization.”. In the data fabric implementation, the concepts in data mesh map to real-world artifacts in a data architecture.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Complex data management is on the rise.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Darkhorse

DECEMBER 11, 2017

A recent HBR article put it at 100% for data science projects. In this article, we'll look at the team. Data Steward – this skillset is alive and well in most organizations. What they should be talking about is how to get the data out more quickly and cleanly. That’s abysmal. So who's in the analytics dream team.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

FineReport

FEBRUARY 12, 2020

You may have seen many articles emphasize how to improve the layout of the report. Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Cool Visualization elements. The Basics of Report Designing . ERP database?

Reporting 98

Reporting Metrics ROI KPI 98

FineReport

DECEMBER 17, 2019

In this article, I review some of the top free and open source reporting tools. Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. 9 Data Visualization Tools That You Cannot Miss in 2019. FineReport. From FineReport.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

Jet Global

AUGUST 14, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data. Select a Storage Platform.

Visualization 136

Visualization Key Performance Indicator Sales Data Lake 136

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Smarten

DECEMBER 3, 2023

In this article, we provide an overview of the factors and considerations to include in your project plan. Perhaps you want to shift from a data warehouse to cloud storage. .’ If you are planning to implement an augmented analytics solution, you must have a comprehensive plan.

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

FineReport

DECEMBER 25, 2019

It can help enterprises make better use of data if different data can be presented by appropriate reports. This article will introduce the top 10 types of reports , with the reporting examples and process of reports designing, to help you choose the right report to support your decision. Determine the source the data .

Reporting 98

Reporting Metrics ROI KPI 98

Jet Global

JANUARY 6, 2020

Business intelligence (BI) tools have become an enterprise software staple, and it’s easy to see why: the ability to explore, visualize and share business data has made BI solutions a bedrock upon which faster, better decisions can be made. This article originally appeared in Panorama Consulting Group’s blog on January 6, 2020.

Consulting 64

Consulting Reporting Finance Data Warehouse 64

Jet Global

OCTOBER 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

NOVEMBER 25, 2020

How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Jet Global

MARCH 25, 2020

Not having direct access to the data you need hinders your ability to deliver on-demand reporting. Do you need to provide visualizations to help other departments manage their costs and expenses? Do you need to validate master data in your reporting? Do you depend on IT or power users to do this for you?

Reporting 45

Reporting Finance Sales Visualization 45

Peter James Thomas

APRIL 3, 2020

For anyone who is unaware, the title of the article echoes a 1953 Nature paper [1] , which was instead “of considerable biological interest” [2]. I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. Another article from peterjamesthomas.com.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Howard Dresner

JANUARY 4, 2015

Millennials are changing the way we consume and report data, so a generational change is starting to make a difference regarding the importance of training. Bottom line: It’s that time of year when the Internet is flooded with articles and blog posts of predictions for the upcoming year.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

FineReport

APRIL 21, 2024

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. This article serves as a comprehensive guide, exploring the integration, functionalities, and advantages of embedded BI tools over traditional BI solutions.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Data Visualization.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. In other words, #adulting. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Data visualization analysis. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. In this article, we will explore what BI Dashboard is, its key features, benefits and limitations, and best practices and examples.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Cloudera

AUGUST 20, 2021

Analytical Outcome: CDP delivers multiple analytical outcomes including, to name a few, operational dashboards via the CDP Operational Database experience or ad-hoc analytics via the CDP Data Warehouse to help surface insights related to a business domain. A Holistic Visual Exploration of Data.

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

Alation

JULY 19, 2022

The traditional data science workflow , as defined by Joe Blitzstein and Hanspeter Pfister of Harvard University, contains 5 key steps: Ask a question. Get the data. Explore the data. Model the data. Communicate and visualize the results. A data catalog can assist directly with every step, but model development.

Metadata 59

Metadata Data Quality Statistics Data Science 59

datapine

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.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

datapine

FEBRUARY 10, 2021

Here we will present a social media dashboard definition, a guide on how to create one, and finalize with social media dashboard templates at the end of the article. To make the most out of your social media dashboards, you need to have an established process before you generate reports and utilize your online data visualization.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

Sisense

FEBRUARY 24, 2021

Clearly, data is becoming more important to organizations. In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer. Not all organizations are at the same point in their data journey.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69