CIO Business Intelligence

APRIL 22, 2022

Tableau: Now owned by Salesforce, Tableau is a data visualization tool. RapidMiner: This data science platform is geared to support teams, with support for data prep, machine learning, and predictive model deployment. js: This JavaScript library is used to make interactive visualizations in web browsers.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

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

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

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. Producing insights from raw data is a time-consuming process.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

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. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

FineReport

MAY 29, 2020

It is a part of BI features that allow you to extract and dynamically display data in the form of different types of visualizations such as charts and tables, so users can transform data into useful information and discover insights. . BI Reports can vary in their interactivity. The ‘data’ part is the statistics and data display. .

Reporting 94

Reporting OLAP Visualization Business Intelligence 94

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

CIO Business Intelligence

MAY 9, 2024

To that end, CAIOs must break down silos and interact with a multitude of leaders in both lines of business and supporting functions, Daly says. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. The 12-week data management course covers Python, data quality, data visualization, GDRP, and database management.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. And it’s easy to check the accuracy of our model with the actual data.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

CIO Business Intelligence

MAY 10, 2022

They tend to be more “pure-play” platforms geared for gathering and organizing first-party data, so frequently need to be used with additional data visualization platforms. Salesforce Interaction Studio. Salesforce Interaction Studio is a personalization and interaction management solution for the Salesforce Marketing Cloud.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Smarten

JULY 26, 2022

The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs). “Users can analyze and interact with data with full visibility of dashboards, reports and other BI objects.”

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. It provides data scientists and BI executives with data mining, machine learning, and data visualization capabilities to build effective data pipelines. . From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

The Data Visualisation Catalogue

APRIL 4, 2019

I’ve implemented DataView in my own work and find it an excellent way to organize investment information, do data discovery and create predictive models. Application #2: Creating and visualizing multi-variable relationships, which is particularly useful in creating predictive models.

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

OCTOBER 31, 2022

GeoMap support with interactive maps. Social BI tools for data sharing. Graphical Analysis and Cross-Tab Analytics for Intuitive reporting. What-If Analysis to test pricing, budget and cost information. Out-of-the-Box Mobile BI tools for access from anywhere. Personalized alerts. Real time and cached data management.

Key Performance Indicator 69

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 69

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. Computer Science Skills.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Smarten

APRIL 25, 2024

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Data Quality 64

Data Quality Analytics Machine Learning Visualization 64

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Smarten

MAY 17, 2024

For example, a Data Scientist can use PMML integration to Import models created in other languages like R and Python with a PMML format, and use those models with analytical workflows to roll out predictive models to users, enabling business users to participate in analysis and making Data Scientists more productive.

Analytics 52

Analytics Predictive Modeling ROI Cost-Benefit 52

Smarten

MARCH 5, 2024

Augmented Analytics tools that are designed for business users should provide a foundation of machine learning and natural language processing (NLP) so search analytics is as easy as asking a question in a Google-type interface, with features like Smart Data Visualization, Assisted Predictive Modeling and Self-Serve Data Preparation.

Predictive Modeling 64

Predictive Modeling Machine Learning Consulting Visualization 64

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. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Smart Data Visualization.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

AWS Big Data

JANUARY 25, 2023

An Amazon Personalize job predicts for each line of input data (restaurants and restaurant articles) and produces ML-generated recommendations in the designated S3 output folder. The recommendation records are surfaced using interaction data, product data, and predictive models.

Visualization 84

Visualization Interactive Modeling Machine Learning 84

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

Cloudera

NOVEMBER 2, 2020

It is very hard to maintain interactive performance, over large amounts of data that is arriving very fast, some of which might need updates, with a large number of queries of varying patterns. Fast ingest of streaming data, interactive queries, very high scale. Tool for visualizing, dashboarding, and report building.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. This training program is about classic data visualization principles? advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

Sisense

JANUARY 26, 2020

From there, the team could ask new questions of that dataset to understand the way customers were interacting with their products and ultimately build a better warranty policy for products before they were even released. They use predictive models to forecast revenues based on spending.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

SEPTEMBER 13, 2024

CFM data scientists then look up the data and build features that can be used in our trading models. Jupyter notebooks are interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Predictive Analytics 40