Paul Blogs on BI

MAY 13, 2024

release are very much like these frequent traveler programs in that they can save you money and time and they don’t cost you anything extra to use them as they are included as part of the software. One such feature that has recently stood out for me is “Web Intelligence as a data source”. With the latest service pack of BI 4.3,

Data Warehouse 52

Data Warehouse Data Lake Reporting Dashboards 52

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 130

Data mining Data-driven Statistics OLAP 130

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. a) Data Connectors 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.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. With Grafana, you can create, explore, and share visually rich, data-driven dashboards. Lastly, configure the dashboard.

Metrics 97

Metrics Dashboards Visualization Key Performance Indicator 97

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

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

JUNE 1, 2022

If your business is software, and you want to expand your client base and your offerings, there is no reason you need to spend the time to hire developers who are skilled in analytics or to build your own solution. Integrating augmented analytics within your existing software solutions is simple. Rapid Deployment.

Data Warehouse 76

Data Warehouse Software Data Architecture Consulting 76

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

Jet Global

SEPTEMBER 22, 2023

For Microsoft Dynamics customers this means having up-to-date information in Power BI dashboards and the skills to make custom changes when required. 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.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

FineReport

APRIL 21, 2024

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. Embedded BI tools have emerged as a transformative force, seamlessly integrating analytical capabilities directly into existing software applications.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

datapine

SEPTEMBER 27, 2022

Plus, knowing the best way to learn SQL is beneficial even for those who don’t deal directly with a database: Business Intelligence software , such as datapine, offers intuitive drag-and-drop interfaces, allowing for superior data querying without any SQL knowledge. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

FineReport

MAY 6, 2020

Berdasarkan pengalaman saya secara bertahun-tahun, saya merangkum sepuluh skill yang perlu dikuasai seorang data analyst senior dan memiliki kualifikasi. Software Pemvisualisasi Data: excel, python, software profesional lainnya. Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

Jet Global

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

Jet Global

SEPTEMBER 22, 2022

What if modeling gives you the ability to not just have a plan A, but also to evaluate plan B, plan C, plan D, and more. What if scenario modeling is a huge asset for organizations seeking a stronger foundation for executive decisions. The Right Software Can Make “What If” Modeling Easy.

Modeling 52

Modeling Forecasting Finance Uncertainty 52

Jet Global

OCTOBER 22, 2020

As ERP moves to the cloud, software vendors are developing more sophisticated, interconnected ways of gathering, organizing, and analyzing business data. As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products.

Modeling 52

Modeling OLAP Reporting Sales 52

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise. Deploy anywhere!

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

AWS Big Data

JULY 12, 2023

With a wide array of data sources, including transactional databases, log files, and event streams, you need a simple-to-use solution capable of efficiently ingesting and transforming large volumes of data in real time, ensuring data cleanliness, structural integrity, and data team collaboration.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

datapine

MARCH 31, 2022

Try our modern software 14-days for free & experience the power of BI! One way you could start is by getting accepted for an internship working at a company with a dedicated analysis department that can teach you about DSS software. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

APRIL 18, 2024

Implementing budgeting and planning software to streamline repetitive tasks and workflows enables your finance team to eliminate manual processes and minimize errors. By leveraging technology to automate planning processes, you can deploy real-time data analytics, scenario modeling, and forecasting capabilities.

Forecasting 52

Forecasting Finance Dashboards Reporting 52

AWS Big Data

MARCH 26, 2024

AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics. The following screenshot shows an example C360 dashboard built on QuickSight.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Jet Global

JUNE 28, 2022

With the coming rollout of the OECD’s action plan on Base Erosion and Profit Shifting (BEPS) in over 130 countries, there are big changes looming, and today’s investments in multinational tax reporting and transfer pricing software will pay big dividends as finance teams step up to meet the challenge of shifting to the new paradigm.

Software 52

Software Forecasting Reporting Finance 52

Jet Global

APRIL 24, 2024

Logi Symphony is a powerful embedded business intelligence and analytics software suite that empowers independent software vendors and application teams to embed analytical capabilities and data visualizations into your SaaS applications. Chatbots At insightsoftware, we leverage advanced AI capabilities with Logi Symphony.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

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

Sisense

JULY 22, 2020

Sisense provides instant access to your cloud data warehouses. Data modeling: Create relationships between data. Once the data is stored, data engineers can pull from the data warehouse or data lake to create tables and objects that are organized in more easily accessible and usable ways.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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. Data governance and security measures are critical components of data strategy. To ensure minimum latency, efficient data management is key.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

APRIL 30, 2024

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.

Analytics 52

Analytics Data Processing Dashboards Reporting 52

AWS Big Data

SEPTEMBER 19, 2023

This is a guest post by Khandu Shinde, Staff Software Engineer and Edward Paget, Senior Software Engineering at Chime Financial. However, our legacy data warehouse-based solution was not equipped for this challenge. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 78

Analytics Risk Big Data Machine Learning 78

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

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 67

Data Lake Cost-Benefit Dashboards Data Warehouse 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

FEBRUARY 15, 2024

Software is invisible. Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” We need to focus on interfaces.”

Strategy 110

Strategy Digital Transformation Cost-Benefit Forecasting 110