BI-Survey

NOVEMBER 19, 2018

S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-house.

Data Warehouse 66

Data Warehouse Reporting Risk Optimization 66

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. Download the Redshift JDBC driver.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

JANUARY 18, 2023

The business users now have the facility to focus on capitalizing on domain and functional knowledge, and the MIS team can work towards the much larger objective of building a Corporate Data Warehouse and BI Competency Center. Download the Case study.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Their cluster size of the provisioned data warehouse didn’t change.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

Jet Global

MARCH 29, 2022

While it generates reports on enterprise performance, the platform wasn’t built to optimize the reporting process. In this blog post, learn how you can optimize NetSuite for accounting and finance users and expand its reporting capabilities for deeper insights. Automate Data Collection and Imports.

Reporting 52

Reporting Optimization Finance Data Collection 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

Jet Global

MAY 20, 2022

That’s where Angles from insightsoftware comes in, helping mid-sized finance and accounting teams optimize their ERP reporting processes and gain fast, accurate analytics. Angles is a complete, ready-to-go, no-code solution that integrates with your ERP to optimize reporting processes. Download our e-book. Enable cookies.

Reporting 52

Reporting Optimization Operational Reporting IT 52

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 112

Data Warehouse Cost-Benefit Sales Data-driven 112

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 95

Management Data Warehouse Metrics Dashboards 95

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

AUGUST 1, 2023

Additionally, this post strives to achieve a low-code and serverless solution for operational efficiency and cost optimization, and the solution supports incremental loading for cost optimization. Solution overview This solution uses Amazon AppFlow to retrieve data from the Jira Cloud. Choose Next.

Data Lake 86

Data Lake Data Transformation Cost-Benefit Data-driven 86

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. Ready to evolve your analytics strategy or improve your data quality? It’s the “new oil.”

Data-driven 81

Data-driven Analytics Machine Learning Optimization 81

Jet Global

JULY 11, 2019

As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Inventory optimization to reduce stock-out and overstocking.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. The timestamp clause lets us travel back without altering current data.

Snapshot 101

Snapshot Data Lake Metadata Optimization 101

Cloudera

JUNE 2, 2021

Often, these can be traced back to the weaknesses in the underlying data engineering solution architectures that have become archaic for modern data pipelines — posing a perennial problem for the data architects, data engineers, and data administrators.

Data Warehouse 91

Data Warehouse Machine Learning Data-driven Optimization 91

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

SEPTEMBER 22, 2023

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

NOVEMBER 7, 2023

The answer depends on your specific business needs and the nature of the data you are working with. Both methods have advantages and disadvantages: Replication involves periodically copying data from a source system to a data warehouse or reporting database. Empower your team to add new data sources on the fly.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 78

Data Lake Data Warehouse Sales Data-driven 78

AWS Big Data

OCTOBER 24, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. These metrics are accumulated statistics across all runs of the query.

Metrics 85

Metrics Statistics Data Warehouse Cost-Benefit 85

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines. Monte Carlo Data — Data reliability delivered. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Jet Global

FEBRUARY 23, 2024

Data sources are crucial for reporting, analyzing, and acting on transactional and corporate data and connecting these sources in real time with various tools like connectors, ETL tools, mashups, Web services, and data source-neutral BI solutions is essential. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Cloudera

NOVEMBER 27, 2023

million downloads, 21,000 GitHub stars, and 1,600 code contributions. This will help accelerate deployment across environments and to optimize performance and resource utilization on an ongoing basis. Download Cloudera Stream Processing Community edition for FREE and get zero to Flink in less than an hour. billion events/s.

Data Lake 82

Data Lake Advertising ROI Data Warehouse 82

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

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

AWS Big Data

JANUARY 17, 2024

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. By identifying these changes, the query engine can optimize the query to process only the relevant data, significantly reducing the processing time and resource requirements.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

datapine

MAY 21, 2019

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. Download our game-changing summary and see your company grow! Download our game-changing summary and see your company grow! Let’s get started!

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

AWS Big Data

FEBRUARY 13, 2024

Now the CloudWatch data source has been registered. Copy the data source ID from the URL [link].amazonaws.com/datasources/edit/ Download the Grafana template. Replace in the JSON file with your Grafana data source ID. Observability is now an essential part of robust data orchestration on AWS.

Metrics 98

Metrics Dashboards Visualization Key Performance Indicator 98

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Dimension-based models have been used extensively to build data warehouses.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

Jet Global

OCTOBER 1, 2019

As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Inventory optimization to reduce stock-out and overstocking.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

CIO Business Intelligence

OCTOBER 19, 2023

Build custom visualizations Power BI includes a range of visualizations, but you can add even more, by downloading them from Microsoft’s AppSource or by creating your own with the open source Power BI visuals SDK. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

Slice and Dice 111

Slice and Dice Scorecard Metrics Visualization 111

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Jet Global

APRIL 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. Get Insight Now. The post The Enterprise AI Revolution Starts with BI appeared first on Jet Global.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

CIO Business Intelligence

AUGUST 3, 2023

It also used device data to develop Lenovo Device Intelligence, which uses AI-driven predictive analytics to help customers understand and proactively prevent and solve potential IT issues. Lenovo Device Intelligence can also help to optimize IT support costs, reduce employee downtime, and improve the user experience, the company says.

Analytics 83

Analytics Data Lake Metadata Cost-Benefit 83

FineReport

JUNE 24, 2021

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Data preparation and data processing. Free Download.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84