FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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. BA primarily predicts what will happen in the future. What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Assess and validate the model with analysts and business users. Use Birst Pronto to implement the model by creating an R transform step that creates a new metric.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JUNE 29, 2018

In this case, the metrics would be, “salary”, and the two related groups would be the two different “time points”; that is, salaries “before” and “after” completion of the PhD program.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

DECEMBER 3, 2023

IT consultants, system integrators, ISVs, and resellers can benefit from adding self-serve analytics to their apps and software by offering unique solutions without a significant investment. ‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

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. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

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. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. temperature, salary). With repetition, the agent learns the best strategies.

Machine Learning 74

Machine Learning Modeling Deep Learning Predictive Modeling 74

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Smarten

JUNE 29, 2018

Given a set of transactions, this process aims to find the rules that enable us to predict the occurrence of a specific item based on the occurrence of other items in the transaction. While there are numerous metrics and factors used in this technique, for this example, we will only consider two factors namely, Support and Confidence.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

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. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

Smarten

DECEMBER 3, 2023

The augmented analytics search engine allows users to factor in several variables, e.g., a list of sales team members, a time period or range, a category of products or items etc. The definition of Augmented Analytics can be broad, and all augmented analytics solutions are not equal in capabilities, features and functions.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Graph analytics has revolutionized business intelligence.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 1, 2023

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52