IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

CIO Business Intelligence

JUNE 16, 2022

Dashboards help users plan their tasks and avoid falling behind. Mainline business professions like those running the supply chain are some of the first to use Bizagi to automate many of the workflows tracking how parts and goods move toward manufacturing. They also make it simpler for managers to organize large teams.

Management 111

Management Insurance Software Digital Transformation 111

FineReport

DECEMBER 23, 2019

The market share of advanced analytics and predictive analytics accounted for 27.2%. Users generally have strong demand for newer business intelligence application scenarios such as data visualization , large screen dashboard, and data maps. ” Why are more and more customers choosing FanRuan?

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

datapine

JANUARY 18, 2023

In addition, we will see how online dashboards have overthrown the static nature of classic reports and given way to a much faster, more interactive way of working with data. With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. A good example is a KPI scorecard.

Reporting 201

Reporting Metrics Dashboards Visualization 201

datapine

MARCH 25, 2020

Automated reports completely eliminate traditional means of communicating data since they rely on business reporting software that uses cutting edge business intelligence, technology and smart features such as interactivity, a drag-and-drop interface, and predictive analytics, among others.

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Any business user or analyst can report on this new metric through a report or dashboard. This new metric can then be networked into the governed semantic layer.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

OCTOBER 30, 2019

Modern business dashboard tools allow a wider audience to comprehend and disseminate the report findings. OK, now you are sold on how new data reporting tools are making reports easier to build, more encompassing of disparate data sources, visually powerful and easier to share in various formats. Be Visually Stunning.

Reporting 127

Reporting Visualization Dashboards KPI 127

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. How do you think Technology Business Management plays into this strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

The industries that are users of embedded analytics are interesting. The Business Services group leads in the usage of analytics at 19.5 And Manufacturing and Technology, both 11.6 Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 4, 2021

SAP Analytics Cloud (Embedded Analytics) – The SAP Analytics Cloud (SAC) was the evolution of several components aimed at business planning, predictive analytics, and data visualization.

Reporting 52

Reporting IT Finance Data Warehouse 52