Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights. That’s data insights for everyone.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

Analytics Vidhya

OCTOBER 15, 2019

Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.

Modeling 248

Modeling Business Intelligence Dashboards Reporting 248

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

datapine

AUGUST 14, 2019

Business intelligence has developed into one of the most powerful solutions for companies that look for smart data analysis, predicting the future, and utilizing business intelligence software for generating actionable insights. connecting data sources and predicting future outcomes. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smarten

NOVEMBER 4, 2024

Knowledgebase Articles Access Rights, Roles and Permissions : AD Integration in Smarten Data Sources : Database Data Sources : Improving performance for fetching data from the database GeoMap : Importing areas and their Lat / Long Predictive Use cases Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive (..)

Predictive Modeling 64

Predictive Modeling Modeling Predictive Analytics Business Intelligence 64

BizAcuity

NOVEMBER 13, 2024

BI consulting services play a central role in this shift, equipping businesses with the frameworks and tools to extract true value from their data. As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 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. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

MARCH 13, 2018

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff?

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

CIO Business Intelligence

JUNE 7, 2022

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. We already have excellent tools for these tasks. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. SQL can crunch numbers and identify top-selling products.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

FEBRUARY 10, 2023

Benefits of predictive analytics Predictive analytics makes looking into the future more accurate and reliable than previous tools. Retailers often use predictive models to forecast inventory requirements, manage shipping schedules, and configure store layouts to maximize sales.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 337

Machine Learning Testing Modeling Cost-Benefit 337

Smarten

JUNE 22, 2022

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? These software solutions are familiar and often times are a crucial part of workflow, helping the user to capture and monitor data and to check approvals, orders, project status etc.

Slice and Dice 78

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 78

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Installation is easy. About Smarten. Original Post : Smarten Augmented Analytics Now Available on Mobile App!

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

CIO Business Intelligence

APRIL 22, 2022

Some common tools include: SAS” This proprietary statistical tool is used for data mining, statistical analysis, business intelligence, clinical trial analysis, and time-series analysis. RapidMiner: This data science platform is geared to support teams, with support for data prep, machine learning, and predictive model deployment.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

FineReport

MAY 13, 2020

Birt is an open-source Eclipse-based business intelligence platform for small businesses. It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . From Google. From Google. Pentaho Community Edition .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

CIO Business Intelligence

JANUARY 19, 2024

Cost: $180 per exam Location: Online Duration: Self-paced Expiration: Credentials do not expire SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates your ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

CIO Business Intelligence

SEPTEMBER 24, 2024

PwC AI-powered predictive models are essential to forecasting peak usage and scaling resources. By analysing historical data to identify trends, a model can predict future demand, which can help companies prepare for spikes in resource utilisation and avoid costs for resources that go unused during low-demand periods.

Predictive Modeling 115

Predictive Modeling Machine Learning Forecasting Data-driven 115

CIO Business Intelligence

JUNE 14, 2023

SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates the ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataRobot

JANUARY 20, 2022

— Snowflake and DataRobot integration capability delivers automated production of clinical and population health datasets and AI risk detection models that accelerate the delivery of real-time predictive insight to clinicians and operational managers wherever it’s needed. Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

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

Smart Data Collective

SEPTEMBER 26, 2021

An analyst can examine the data using business intelligence tools to derive useful information. . There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Smarten

OCTOBER 31, 2022

If your business can leverage traditional business intelligence tools AND advanced augmented analytics, it can provide the features and tools its users need without being forced to choose and without forcing its team to use a solution that is not ideal for their role or their needs.

Key Performance Indicator 69

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 69

Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Analytics 69

Analytics IT Business Intelligence Predictive Modeling 69

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

OCTOBER 2, 2024

Raw data collected through IoT devices and networks serves as the foundation for urban intelligence. Meanwhile, predictive modeling anticipates resource needs and potential infrastructure failures, and anomaly detection allows for prompt identification and mitigation of environmental hazards and security threats.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

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. Forecasting. Classification. Hypothesis Testing.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Smarten

MAY 28, 2024

Knowledgebase Articles General : Global Variable : Calculating Profit/Loss Variance based on What-if Analysis Embedded / API Integration : API Call to rebuild cubes / datasets Installation : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Classification : Customer Churn model using Smarten (..)

Predictive Modeling 69

Predictive Modeling Snapshot Modeling Analytics 69

CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98