Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We’ve got a lot to share in this area.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

Cloudera

SEPTEMBER 17, 2020

To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle. This platform, including an ad-hoc capable data warehouse service with built-in, easy-to-use visualization, made it easy for anyone to jump in and start experimenting.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. You can design, generate, and manage reports in this part.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. These are specifically tailored to support BI reports and dashboards as per the business requirements.

Data Warehouse 108

Data Warehouse Testing Data Quality Reporting 108

Sisense

APRIL 17, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Why use a materialized view?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 84

Data Warehouse Analytics Metadata Dashboards 84

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 116

Data Lake Analytics Dashboards Metrics 116

FineReport

SEPTEMBER 3, 2020

It allows you to extract data and present data in the form of charts, tables, reports, and dashboards to transform the data into useful information. . A 3-tier architecture is an architecture pattern that divides the architecture into three tiers: data layer, application layer, and presentation layer.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

JUNE 14, 2023

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. Individuals with the certificate understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

APRIL 15, 2021

Set Up Data Integration. Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. Laying out these components will be helpful down the line.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 64

Modeling Data Warehouse Machine Learning Testing 64

FineReport

FEBRUARY 28, 2020

According to the process from data to knowledge, the functional architecture of a general enterprise reporting system is shown below:It is divided into three functional levels: the underlying data, data analysis, and data presentation. and business data are scattered in these independent systems. Mobile App.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

JULY 23, 2020

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. … Report preparation actually includes multiple parts such as original data extraction and processing, data analysis and sorting, report presentation, etc.

IT 98

IT Reporting Visualization Data Warehouse 98

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. No one seems to care.

Testing 152

Testing Dashboards Measurement Experimentation 152

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

NOVEMBER 17, 2021

An error message will then be presented if the field (syllable) is different. Report and Dashboard. The component settings of the dashboard are very powerful. You can make changes to data and graphs or even data points directly on the chart. Meanwhile, Domo grows external data value. FineReport.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

DataRobot Blog

FEBRUARY 28, 2023

For our joint solution with Snowflake, this means that code-first users can use DataRobot’s hosted Notebooks as the interface and Snowpark processes the data directly in the data warehouse. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Jet Global

APRIL 20, 2020

Again, the new CRM paradigm has presented an opportunity for those who were early to identify it and to fully understand the ramifications. First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Today’s technology takes this evolution a step further.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Timo Elliott

OCTOBER 3, 2019

Many presenters took the opportunity to remind the audience about some of the underlying global trends that are both forcing and enabling innovation. Thankfully, most avoided this kind of opening, which plagues analytics presentations to this day! “Did you know there’s more data THAN EVER BEFORE?!

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

FineReport

FEBRUARY 12, 2020

Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Choose the elements to display the data. How is the data presented in the report? ERP database? CRM database? What type of database? SQL Server? From Canva.

Reporting 98

Reporting Metrics ROI KPI 98

datapine

JANUARY 24, 2021

If nothing can be changed, there is no point of analyzing data. But if you find a development opportunity, and see that your business performance can be significantly improved, then a KPI dashboard software could be a smart investment to monitor your key performance indicators and provide a transparent overview of your company’s data.

IT 317

IT Statistics KPI Data-driven 317

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 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. The Five Pain Points of Moving Data to the Cloud.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

FineReport

MAY 9, 2020

It divides the architecture into three tiers: data layer, application layer, and presentation layer. . Presentation Tier. The presentation tier occupies the top level of the application. Data-tier is composed of persistent storage mechanism and the data access layer. Rules in the 3-Tier Architecture.

Reporting 52

Reporting Sales Data Warehouse Software 52

Jet Global

APRIL 2, 2019

Thankfully, with widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? How should data be tagged, sorted, grouped, and analyzed?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

JUNE 5, 2019

BI software offers enterprise businesses the opportunity to connect disparate data sources into one unified source, collate and structure the data, and offer an interface for end-users to extract reports and dashboards that can drive more informed business decisions.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

MAY 1, 2020

Reading this got us excited because if you’ve seen some of our presentations, you’ve probably heard someone here say that BI is more about people, process, and methodology than it is about technology. The mechanical solution is to build a data warehouse. Learn how to prepare your data for BI. Just give me a dashboard.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

FineReport

DECEMBER 25, 2019

It can help enterprises make better use of data if different data can be presented by appropriate reports. This kind of report also can be called a dashboard. By presenting the data in different kinds of charts, the relationship between the data can be better analyzed. Determine the source the data .

Reporting 98

Reporting Metrics ROI KPI 98

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

APRIL 25, 2024

They also want to perform the data processing and transformation work in their own account (Account B) to compartmentalize duties and prevent any unintended changes to the source raw data present in the central account (Account A). For more information, see Monitoring dashboards and alarms on Amazon MWAA.

Metadata 106

Metadata Data Processing Management Testing 106

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Supply Chain Dashboard (by FineReport). What is business intelligence?.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52