datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. connecting data sources and predicting future outcomes. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataKitchen

JUNE 19, 2023

This action involves testing the results of data models for accuracy and relevance, evaluating the effectiveness of data visualizations, ensuring that data delivery mechanisms are operating optimally, and checking the data utilization to ensure it meets its intended purpose. The value here is improved end-user experienc e.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Analyze the Model with Visualization and Interpretation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

APRIL 12, 2023

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Capture, Consolidate, Visualize. Budget available resources and investments.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Smarten

JUNE 10, 2022

Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Smart Data Visualization. Auto Insights.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. Predictive modeling for flagging suspicious activity. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

JUNE 8, 2023

This improves productivity and team member access and ensures that tasks will be performed on a timely basis to keep projects and initiatives moving Improved Accuracy With mobile business intelligence tools, business users can leverage self-serve data preparation, assisted predictive modeling and smart data visualization to achieve accurate, clear (..)

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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 72

Dashboards Predictive Modeling Visualization Modeling 72

Smarten

APRIL 18, 2023

The enterprise must provide self-serve tools including self-serve data preparation, assisted predictive modeling, smart data visualization and natural language processing (NLP) capability that will allow users to ask questions and get information in a Google-type environment, without coding or programming or the assistance of the IT team.

Digital Transformation 52

Digital Transformation Predictive Modeling Data Quality Enterprise 52

Smarten

JUNE 17, 2022

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

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.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 142

Deep Learning Machine Learning Modeling Software 142

Smarten

MAY 13, 2022

Offers augmented analytics components including self-serve data prep, smart data visualization and assisted predictive modeling. Is accessible as a ready-to-use software as a service (SaaS) app with no on-premises installation, development or training required. Provides proven, dependable support for users.

Analytics 76

Analytics Cost-Benefit Finance Data Quality 76

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Capture, Consolidate, Visualize. Budget available resources and investments.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

Sisense

APRIL 10, 2020

It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

AUGUST 14, 2023

With QRadar EDR, security analysts can leverage attack visualization storyboards to make quick and informed decisions. With ML analytics models, your organization can gain additional insight into user behavior with predictive modeling and baselines of what is normal for a user.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

BizAcuity

JULY 13, 2021

Garnering over more than 6 decades of gaming intelligence experience of our founding team and using advanced technologies like AI & machine learning have a custom-built gaming accelerator platform that provides both visualization and data analytics. Data Visualization Layer. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Sisense

JANUARY 26, 2020

Building an accurate predictive analytics model isn’t easy. They use predictive models to forecast revenues based on spending. Currently, Gentex builds visualizations of year-to-date revenue data to forecast up to 15 months into the future. They even incorporate trend data to improve accuracy over time.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smarten

FEBRUARY 17, 2022

In order to adequately support the business user community, the business must select the right augmented analytics solution; a solution that is designed for users with average skills, and provides sophisticated analytics and capabilities in a self-serve environment that is easily adopted by users across the enterprise.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

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. That much is obvious. But figuring out how to go about it?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

AUGUST 28, 2023

Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Out-of-the-box advance analytics capabilities to eliminate 50-60% of costly ETL, data integration, visualization, and implementation. .

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

IBM Big Data Hub

MAY 17, 2024

Experiential product information Al tools allow individuals to learn more about products through processes like visual search, taking a photograph of an item to learn more about it. Generative AI further enhances these capabilities by developing predictive models that anticipate changes in payment regulations.

B2B 64

B2B Interactive Optimization Forecasting 64

Smarten

NOVEMBER 2, 2023

Look for a solution with Smart Data Visualization, Assisted Predictive Analytics with Natural Language Processing (NLP) search analytics, Self-Serve Data Preparation and flexible Mobile BI for users on the road and working remotely.

Predictive Analytics 67

Predictive Analytics Analytics Visualization Reporting 67

Jedox

JULY 23, 2019

If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. Paresh Mistry has published a blog which provides a good framework as a starting point. Financial Modeling. Modeling can come in various forms including predictive modeling and data modeling mentioned above.

Technology 52

Technology Forecasting Finance Data-driven 52

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

MAY 9, 2024

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists (..)

Optimization 62

Optimization Analytics Marketing Enterprise 62

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

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52