CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Smart Data Collective

JUNE 6, 2021

Before diving into whether or not Google BigQuery is the future of big data analytics, it’s vital to firstly understand what “big data analytics” actually means. If your company revolves around the manufacturing of goods or services, for example, big data can aid you in the development of your products. References.

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

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. Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Delete anything that's redundant, and simply visualize what's left for sharper focus. simplification and 2.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

datapine

JUNE 4, 2020

A chief technology officer (also referred to as chief technical officer or chief technologist), has an immense responsibility to drive a company forward and lead the technological advancements, research, development, and management in order to generate business value and increase the return on investment (ROI). click to enlarge**.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. Additionally, it manages table definitions in the AWS Glue Data Catalog , containing references to data sources and targets of extract, transform, and load (ETL) jobs in AWS Glue.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

FineReport

AUGUST 14, 2020

For open-source reporting tools, you can refer to this article? For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

FEBRUARY 5, 2020

Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Overall, as users’ data sources become more extensive, their preferences for BI are changing. Interactive visual exploration.

Metadata 98

Metadata Dashboards Informatics Visualization 98

datapine

FEBRUARY 9, 2024

Catchy headlines, backlinks to relevant influencer content, the seamless placement of a numbered or bulleted and visuals are some of the key drivers of successful digital content. Effective business strategies are built around KPIs, so ensure the data is providing exact and specific answers.

KPI 221

KPI Management Key Performance Indicator Measurement 221

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They cannot process language inputs generally. See [link]. Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

JULY 6, 2022

Sales goals and profit margins are all performance metrics examples that businesses reference, but it goes much deeper than that. In order to set a point of reference for your human resources professionals, the average time to fill is a helpful productivity metric. KPIs and productivity metrics can often act as intertwining categories.

Measurement 243

Measurement Metrics KPI Sales 243

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 6) Smart and faster reporting. click to enlarge**.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

NOVEMBER 1, 2023

Studying historical data can help your company measure an employee onboarding process’s effectiveness. With the help of a benchmark, you can compare new hires’ engagement to the organization’s historical data. When an employee performs below expectation, you can take prompt action to improve their output.

Metrics 86

Metrics Measurement Data-driven Optimization 86

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

FineReport

JUNE 7, 2023

Moreover, the implementation of an effective Project Management Dashboard facilitates data-driven decision-making and sustainable business success. Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Depict Data Studio

SEPTEMBER 26, 2019

She has long been passionate about creating data visualizations that are easy to understand, tell a story, and help stakeholders make informed decisions. I want my clients to take away key points from the qualitative data I collect and report. What My Qualitative Data Visualization Used to Look Like.

Visualization 69

Visualization Reporting Data Collection Software 69

AWS Big Data

FEBRUARY 26, 2024

It empowers businesses to explore and gain insights from large volumes of data quickly. Amazon OpenSearch Ingestion is a fully managed, serverless data collection solution that efficiently routes data to your OpenSearch Service domains and Amazon OpenSearch Serverless collections. Install Python and jq.

Dashboards 64

Dashboards Testing Metrics Optimization 64

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. Higher variety data means that we are adding data from other sensors, other signals, other sources, and of different types.

Big Data 103

Big Data Data Science Measurement Data Collection 103

datapine

JUNE 13, 2019

Gather the right data : since you have set specific KPIs to track, you now just need to compile them all together and analyze them with the help of online BI tools. They are specifically designed to ease your data and create compelling sales analysis reports in no time. Visualize the data to communicate it better.

Sales 264

Sales Reporting KPI B2B 264

FineReport

JUNE 24, 2022

However, sometimes we may find some inconveniences in the process of data collection and data visualization. For example, when making routine work analysis reports, we find it is inconvenient to re-summarize the latest data and recreate a new report, especially when the data is in a large volume.

Reporting 52

Reporting IT Sales Recreation/Entertainment 52

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. The action taken depends on the rule configuration; this can be a notification to the line operator to restock materials, do some maintenance, or just a visual update on the dashboard. So how to detect a failure?

Management 82

Management Broadcasting IoT Metrics 82

IBM Big Data Hub

AUGUST 3, 2023

Seven metrics that identify the relative success of your application health monitoring process Organizations need to have a comprehensive plan to ensure the health of their applications, but one key component of any application health monitoring process is data collection. Applications fail or underperform for many different reasons.

Measurement 64

Measurement Metrics Risk Software 64

IBM Big Data Hub

MARCH 20, 2024

A private cloud refers to a single-tenant cloud infrastructure operated exclusively for one company that is hosted on-premises at a company’s physical location. Low code Low code is a visual approach to software featuring a graphical user interface with drag-and-drop features that support the automation of the development process.

Internet of Things 90

Internet of Things Cost-Benefit Data Processing IoT 90

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130

FineReport

APRIL 15, 2020

There are still many scenarios for uploading information on the mobile phone, and you can refer to Mobile Data Collection: What it is and what it can do. After summarizing, we can present the results on the dashboard through analysis. Made by FineReport. Download template.

Dashboards 95

Dashboards Sales Reporting Management 95

FineReport

MAY 27, 2022

An income statement, which also refers to a profit and loss report, shows an enterprise’s revenues, expenses, and net income in a certain period of time. Step 2: Collect financial data. Compared with other steps, data collection is a relatively tiring step in financial reporting. Balance sheet by FineReport.

Reporting 52

Reporting Dashboards KPI Metrics 52

IBM Big Data Hub

JUNE 29, 2023

enables manufacturers to conduct real-time data collection and analysis for vast amounts of data, providing them valuable insights into their operations. Extended reality Extended reality (XR) refers to technologies that merge the physical and digital worlds; for example, virtual reality (VR) and augmented reality (AR).

Manufacturing 55

Manufacturing Internet of Things Cost-Benefit Digital Transformation 55

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

Domino Data Lab

AUGUST 12, 2021

In this blog we will continue our discussion about data exploration with Pandas Profiler and include another tool that may come handy for those of us that may be more inclined to use visual clues, D-Tale. The purpose of Data Exploration. Data exploration is a very important step before jumping onto the machine learning wagon.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Data Processing 92

Data Processing Data Warehouse Enterprise Visualization 92

Jet Global

AUGUST 14, 2019

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. This also helps business functions avoid unnecessary data logjams and giving them instant access they need to the data they so desperately require.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Refer to the instructions in the README file for steps on how to provision and decommission this solution.

Analytics 96

Analytics IoT Metadata Internet of Things 96