Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Cloudera Data Warehouse and Rill Data—built on Apache Hive and Druid, respectively—can be connected using the Hive-Druid Integration. Cloudera Data Warehouse).

Metrics 88

Metrics Slice and Dice Data Warehouse Dashboards 88

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

Publishing 51

Publishing Analytics Business Intelligence Operational Reporting 51

DataKitchen

NOVEMBER 4, 2021

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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. Even physical assets can be monetized this way.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

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.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

APRIL 29, 2020

Solutions for the various data management processes need to be carefully considered. Extensive planning and taking discussions on the best possible strategies with the different teams and external consultation should be a priority. Data transformation. Data analytics and visualisation. Reference data management.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 78

Dashboards Data Warehouse Visualization Data Processing 78

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. If nothing can be changed, there is no point of analyzing data. Now, with Data Dan, you only get to ask him three questions.

IT 317

IT Statistics KPI Data-driven 317

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Spreadsheets enabled finance professionals to access data faster and to crunch the numbers with much greater ease. Today’s technology takes this evolution a step further.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. First, data and analytics teams never were comfortable ceding control up to business teams. Users need to assess how good data is.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Sisense

APRIL 1, 2020

As a data and analytics company, we are doubling down on doing everything possible to help enable both those on the front lines who fight this crisis directly and those impacted by it across so many important industries, from small businesses to Fortune 100 companies. They need nimble decision-making tools and empowered data teams.

Consulting 52

Consulting Dashboards Data Warehouse Optimization 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

DECEMBER 23, 2020

Similarly, Jet Analytics works with the entire family of Dynamics products, including GP, SL, NAV, and D365 BC, making it remarkably easy to create a data warehouse, extract and transform data from the source system, and easily develop sophisticated reporting and analytics. Plan Ahead for Data Migration.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

Jet Global

DECEMBER 8, 2020

If your company is planning to implement Microsoft’s Power BI analytics platform , it is critically important that you understand the complexity involved with a complete implementation. Power BI was designed to be a dashboard visualization tool. It requires extensive planning and top-notch project management skills to get right.

Finance 52

Finance Risk Reporting Software 52

Peter James Thomas

APRIL 3, 2020

Some espouse the opinion that the term is synonymous with Dashboards. Jane opened up her personal dashboard, which already showed the headline figures the CFO had been citing. Some charts or tables may be replicated across a number of dashboards, but others with be specific to a particular area of the business.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. We use on-demand capacity mode.

Data Analytics 94

Data Analytics Analytics Data Warehouse Data Lake 94

Occam's Razor

DECEMBER 3, 2008

Michael, politely, says in an email: "I have done web analytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. Here's the Avinash Kaushik Web Analytics Career Introspection Guide ! Do some introspection.

Analytics 115

Analytics Consulting Metrics Reporting 115

Alation

MARCH 31, 2022

This technological shift placed computing power into the hands of the individual consumer — yet access to corporate data still resided with the “techies”. The Rise of the Data Warehouse. The birth of the enterprise data warehouse was heralded as the solution to limited access. Modern Business Intelligence.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 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). Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel.

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). Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

Occam's Razor

APRIL 4, 2011

So here I what I actually said: If you see a data puke then you know you are looking at the result of web reporting, even if it is called a dashboard. If you see words in English outlining actions that need to be taken, and below the fold you see relevant supporting data, then you are looking at the result of web data analysis.

Reporting 127

Reporting Metrics Dashboards Statistics 127

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. b) Analytics Features. c) Dashboard Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213