datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The Redshift publish zone is a different set of tables in the same Redshift provisioned cluster.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse).

Metrics 92

Metrics Slice and Dice Data Warehouse Dashboards 92

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 111

Data Warehouse Metrics Statistics Optimization 111

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 78

Data Lake Data Warehouse Data-driven Optimization 78

IBM Big Data Hub

AUGUST 28, 2023

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

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 60

Data Warehouse Unstructured Data Analytics Visualization 60

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

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 98

Metrics Data Warehouse Dashboards Snapshot 98

Occam's Razor

JANUARY 30, 2012

Create a Customized Dashboard – Earn Love, Drive Change. #2. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. Create a Customized Dashboard – Earn Love, Drive Change! Who does not love dashboards? Then click on Dashboards, and what do you see? New Dashboard. Humans love them.

Analytics 146

Analytics Dashboards Metrics Key Performance Indicator 146

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Sisense

JUNE 30, 2020

Simply put, data visualization means showing data in a visual format that makes insights easier to understand for human users. Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 94

Analytics Data Warehouse Data Lake Metadata 94

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

Smarten

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. Your clients have access to embedded BI objects from within the application with scalable integration APIs and objects including dashboards, crosstab, tabular, KPIs, graphs, reports etc. Rapid Deployment.

Data Warehouse 76

Data Warehouse Software Data Architecture Consulting 76

FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. The documents can be published and exported in a variety of document formats. It provides a complete framework for generating daily reports and dashboards from any database.

Reporting 98

Reporting Dashboards Visualization Data Warehouse 98

FineReport

FEBRUARY 12, 2020

Where- Where to publish and put this report? Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Where to publish the report after designed? Publish to the reports management platform or the mobile terminal?

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 93

Data Lake Dashboards Cost-Benefit Data Warehouse 93

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Put AI to work in your business with IBM today IBM is infusing watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20

CIO Business Intelligence

JULY 10, 2023

Rokita believes the key to making that transition is to stop thinking of data warehousing and AI/ML as separate departments with their own distinct systems. The data warehouse is about past data, and models are about future data.

Data Warehouse 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

Cloudera

FEBRUARY 28, 2019

We’ve just published our most recent customer success story ! This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes.

Data Warehouse 57

Data Warehouse Forecasting Data-driven Dashboards 57

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104

FineReport

FEBRUARY 28, 2020

Then the reporting engine publishes these reports to the reporting portal to allow non-technical end-users access. In this way, users can gain insights from the data and make data-driven decisions. . The underlying data is responsible for data management, including data collection, ETL, building a data warehouse, etc.

Reporting 96

Reporting Enterprise Visualization OLAP 96

Jet Global

JULY 23, 2019

With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland. Check out this sample of more than 60 sessions: Build Stunning Dashboards with Power BI. Dashboards.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

FineReport

DECEMBER 25, 2019

This type of report usually is used when the data volume is large. 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. Where- Where to publish and put this report? Determine the source the data .

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 93

Modeling Sales Data Warehouse Snapshot 93

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing data volumes and velocity can reduce the speed that teams make additions or changes to the analytical data structures at data integration points — where data is correlated from multiple different sources into high-value business assets. For data warehouses, it can be a wide column analytical table.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Cloudera

MAY 13, 2021

After a job ends, WM gets information about job execution from the Telemetry Publisher, a role in the Cloudera Manager Management Service. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. BI Interactive Reports or Dashboards.

Management 76

Management Data Warehouse Interactive Reporting 76

Jet Global

OCTOBER 10, 2019

Whether you are using the free desktop version or the paid professional version, one of the biggest challenges with Power BI is customizing your dashboards and reports to fit your analytical requirements. When creating or editing a Power BI dashboard, you have access to a ton of different types of visuals. Custom Visuals for Power BI.

Visualization 56

Visualization Dashboards KPI Reporting 56

FineReport

APRIL 21, 2024

Lengthy Turnaround Time In the competitive landscape of analytics, swift delivery of insights is paramount to proving the value of data and analytics teams. The ability to create and deploy embedded dashboards quickly is essential for engaging clients and internal stakeholders. What Are the Main Benefits of Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Occam's Razor

APRIL 25, 2011

When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Measurement models and data results are just "trophy wives / husbands" to you. Inconsistent blog, Twitter, anything, publishing schedule.

Marketing 127

Marketing Metrics Measurement Testing 127