Smarten

OCTOBER 25, 2023

Mobile BI is a system that integrates enterprise data and makes it accessible on mobile devices using technology, analytics, and visualization to present historical or real-time information for analysis. ‘Mobile BI is about making data accessible to more people and encouraging team members to use that data on a day-to-day basis.’

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories. Dashboards. A BI tool is crucial for business users to monitor and present data.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

JUNE 20, 2022

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. So, BI deals with historical data leading right up to the present, and what you do with that information is up to you.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Paul Blogs on BI

MARCH 25, 2020

A few years ago, when the BI world was obsessed with Big Data, I started many of my BI presentations with the following formula: BIG DATA + BAD DATA = BIG BAD DATA. Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

CIO Business Intelligence

AUGUST 7, 2023

Those early wins helped showcase the systems’ utility and convinced the sales organization to get on board, a milestone made easier through the trusted relationships Barrios forged by embedding in sales meetings and presentations. The secret is being present and partnering,” Barrios says.

IT 98

IT Sales Manufacturing Cost-Benefit 98

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Birst BI

MAY 29, 2018

Today, the BI assembly line is highly dependent on several job roles with different skill sets working together to deliver a report or analytic dashboard to a business user to facilitate better decision making. He published a paper proposing the development of a “relational database model” to address this issue.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. It enables organizations to effectively convey their findings and insights, fostering collaboration and driving impactful decisions based on the presented information.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Juice Analytics

APRIL 21, 2021

There are many choices: Dashboards Reports Self-service BI tools Predictive models One-off analyses using slides Spreadsheet models It is a confusing array of ways to deliver data to these data consumers. Do they need to be able to dig deeply into the data, or can results be shared with a static presentation of insights?

Advertising 113

Advertising Data-driven Dashboards Predictive Modeling 113

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. The reward is clear — properly analyzed datasets result in better models, faster.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. Training and Testing Different AI Models.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Cloudera

SEPTEMBER 7, 2023

Just like the open-source system, database, and machine learning (ML) technologies of the past, AI models are narrowing the gap with proprietary alternatives at an incredibly rapid pace. Create dashboards that highlight project milestones, challenges, and advancements, ensuring stakeholders stay informed and provide input.

Insurance 79

Insurance Risk Data-driven Finance 79

Occam's Razor

JANUARY 7, 2019

Eliminate 40% of the numbers from your dashboard. Bonus, with actionable ideas: Smart Dashboard Modules. ). Affordable: Data Analysis and Presentation Skills at Coursera. There is too much goodness in modeling that you are not taking advantage of. Don't leave her guessing. And, there are five more linked to here.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

CIO Business Intelligence

AUGUST 15, 2023

The Behavioral Health Acuity Risk (BHAR) model leverages a machine learning technique called random forests, which can be natively hosted in the electronic health record and updated in near-real time, with results immediately available to clinical staff.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Occam's Razor

NOVEMBER 18, 2014

There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presented insight drive action. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #1: Treemaps, Sunbursts, Packed Trees, Oh My!

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

datapine

JANUARY 31, 2022

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. For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Depict Data Studio

SEPTEMBER 17, 2019

advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. I sat through hundreds of (really bad) conference presentations. You’ll think about which format–a report, dashboard, infographic, one-pager, etc.–is I took seminars. training program is a shortcut.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. One of the ways I frame that is, “Are you looking to build a predictive model? or a prescriptive model? or a descriptive model?” We have a continuous integration solution.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Smarten

JANUARY 27, 2023

Static, packaged dashboards do not allow users to use data in the ways they need for individual roles and will discourage use. Data Visualization – Smart Data Visualization allows your users to build a view that will tell a story, with suggestions and recommendations to help the user decide how to present the data so that it is clear.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The trends we presented last year will continue to play out through 2020. Time gain is also present in the form of AI assistants. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JULY 3, 2017

By the time the user receives the report, the data may be outdated or it may be presented in a way that makes it difficult to interpret and use. It is important to note that the concept of citizen data scientists is not only about preparing data and creating reports or dashboards.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

FineReport

MARCH 31, 2024

In today’s dynamic business landscape, Business Intelligence (BI) tools are indispensable software applications crafted to extract, transform, and present data, facilitating strategic decision-making. What Are the Best BI Tools? Why is Choosing the Best BI Tools Important? Best BI Tools for Data Analysts 3.1 Try FineBI Now 3.3

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

JUNE 22, 2022

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

datapine

DECEMBER 4, 2019

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. Yes—but basic dashboards won’t be enough. Discuss, don’t present. Present your business case. Read on for new ways to monetize your embedded analytics offerings.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Solutions like AWS Pipeline from Amazon and Logi Symphony from insightsoftware leverage automation and user-friendly dashboards to help ensure that datasets are available in the right format, at the right time, and in the right place for decision-making and analysis.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52