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Markdown Optimization
Markdown Optimization – Modeling Markdowns to Maximize

Markdown Optimization – Modeling Markdowns to Maximize Revenue Markdowns are omnipresent in retailing and play...

Marketing Mix Model
Optimizing Marketing Spend with Marketing Mix Modeling

Optimizing Marketing Spend with Marketing Mix Modeling Marketers in CPG industry are constantly faced with...

Business Model for a Hedge Fund
Business Model for a Hedge Fund

Business Model for a Hedge Fund The client has started a closed-ended hedge fund of...

Top Data Engineering Firms for FP&A Automation

Introduction Finance teams have never had access to more data, yet many still spend days...

Can Governance Scale Without Becoming a Bottleneck?

Executive Summary  Every successful data program eventually creates a governance challenge. The controls that once...

Should Your Transformation Roadmap Be Built Around

Executive Summary  Walk into many transformation steering meetings and the roadmap often reads like a...

Data Quality Observability: Maximizing ROI Through Data

The ROI of Data Visibility:  Rethinking Quality Beyond Rules and Perfection Why visibility-driven data quality...

Enterprise Dashboard Design Principles That Drive BI

Business Intelligence technologies worth billions have been invested in by businesses, but using dashboards has...

Digital Transformation Strategies to Unify Snowflake and

Today, more companies than ever use hybrid analytics architectures where Snowflake and Databricks both have...

How to Choose the Most ROI-Driven Partner

Modernization of Business Intelligence is not just about a technology refresh anymore. It’s a business...

How to Select the Best Partner for

Dashboards in enterprise operations offer real-time insight into performance, enhance decision-making abilities, and ensure greater...

How to Select a Consulting Partner to

Many companies have already made substantial investments in advanced BI solutions, cloud analytics, and dashboards,...

Markdown Optimization
Markdown Optimization – Modeling Markdowns to Maximize

Markdown Optimization – Modeling Markdowns to Maximize Revenue Markdowns are omnipresent in retailing and play...

Marketing Mix Model
Optimizing Marketing Spend with Marketing Mix Modeling

Optimizing Marketing Spend with Marketing Mix Modeling Marketers in CPG industry are constantly faced with...

Business Model for a Hedge Fund
Business Model for a Hedge Fund

Business Model for a Hedge Fund The client has started a closed-ended hedge fund of...

blog 3
Investment Banking – A Video Case Study

This is a video case-study on Investment Banking

blog 1
Segmentation and Cross-Sell Opportunity – A Video

Check out this video case study that talks about segmentation and identifying cross-sell opportunities.

Twitter Analytics
Insights Using Twitter Information to Target Your

How can you use twitter to know which geographies to target your customers through twitter?...

Beyond Dashboards The Rise of Decision Intelligence in Pharma
Beyond Dashboards: The Rise of Decision Intelligence

When Dashboards Stop Being Enough For years, pharma’s dream was data clarity.We built dashboards. We...

AI Without Trust Is Noise Building Responsible Intelligence in Pharma
AI Without Trust Is Noise: Building Responsible

When Intelligence Meets Accountability The pharmaceutical industry stands at a crossroads.AI promises to accelerate discovery,...

Why Data Speed Defines Pharma’s Next Competitive Edge
The ROI of Decision Velocity: Why Data

The Race Has Changed For decades, pharma’s race was about discovery — who could find...

How AI Is Unifying Pharma Decisions in Real Time-Featured
How AI Is Unifying Pharma Decisions in

The Bottleneck Pharma Doesn’t Talk About For years, drug development felt like building bridges—each stage...

Twitter Analytics
Insights Using Twitter Information to Target Your

How can you use twitter to know which geographies to target your customers through twitter?...

Markdown Optimization
Markdown Optimization – Modeling Markdowns to Maximize

Markdown Optimization – Modeling Markdowns to Maximize Revenue Markdowns are omnipresent in retailing and play...

Why Choose Perceptive Analytics for Large-Scale AI

Enterprise AI and analytics transformation initiatives have become strategic priorities for organizations seeking faster decisions,...

How AI Transforms Enterprise Analytics: Faster Reporting,

Enterprise leaders are under stress to provide quicker financial reports, enhanced forecast precision, enhanced marketing...

Data Lakes vs Data Warehouses: The Right

Why modern enterprises are no longer choosing between them, but deciding how they coexist Executive...

Data Lakehouse vs Traditional Data Lake +

Why enterprises are rethinking how analytics, AI, and governance should operate together Executive Summary As...

From Insight to Execution: Why Reverse ETL

Architecting consistent, system-aligned data activation from warehouse to action Executive Summary Reverse ETL is the...

Why KPI Inconsistency Across Departments
Why KPI Inconsistency Across Departments Is a

Every enterprise data leader has sat in a meeting where two dashboards showed two different...

Incremental Data Loads vs Full Data Refres
Incremental Data Loads vs Full Data Refresh

Understanding how data flows, which refresh strategy fits best, and how to decide the right...

Cloud-Native Warehouse vs On-Prem
Cloud-Native Warehouse vs On-Premise Database – What’s

Understanding when the cloud wins, when on-premise prevails, and how leaders can make the right...

Metadata That Predicts Failure
Metadata That Predicts Failure: How LLM Copilots

Transforming lineage, usage, and schema history into real-time impact prediction for safer data platform evolution....

The End of Request-Driven BI
The End of Request-Driven BI: Why Data

Why shifting from request-driven analytics to data platforms is now a structural necessity for enterprises....

Modernization Fails When Architecture
Modernization Fails When Architecture Comes Before Decisions

Modernization succeeds when decision design leads and architecture is built backward from real business needs....

Freshness Tiers Are the Missing Lever in Your Cloud Cost Strategy
Freshness Tiers Are the Missing Lever in

Stop Overpaying for Data Recency That Does Not Drive Decisions Executive Summary Enterprises overspend on...

Why AI_ML Workflows Are Breaking Traditional Data
Why AI/ML Workflows Are Breaking Traditional Data

Designing AI-ready systems without destabilizing analytics foundations Executive Summary AI/ML workflows introduce real-time processing, feature...

Can Your Data Architecture Survive Global Privacy Regulations
Can Your Data Architecture Survive Global Privacy

Embedding Privacy Controls Directly into the Data Layer Executive Summary Privacy regulation is rapidly fragmenting...

Architectural Rigidity Is Draining Your Analytics ROI
Architectural Rigidity Is Draining Your Analytics ROI

How Recurring Rebuild Cycles Quietly Erode Cost Efficiency and Decision Velocity Executive Summary Enterprise data...

Your Data Platform Is Overspending on Compute
Your Data Platform Is Overspending on Compute

Turning Pipeline Orchestration into a Cost-Governance Mechanism Executive Summary The average enterprise wastes 20-30% of...

CXO Role in BI Strategy and Adoption Success
CXO Role in BI Strategy and Adoption

Right-Sizing Executive Involvement in BI Design and Adoption Why CXOs must steer BI strategy without...

Modern Data Warehouse Strategy: Avoid the 18-Month Reporting Trap
Modern Data Warehouse Strategy: Avoid the 18-Month

A strategic guide to avoiding the 18-month reporting trap and building organizational reflex speed. “A...

Airflow vs Prefect vs dbt
Airflow vs Prefect vs dbt: Choosing the

Airflow vs. Prefect vs. dbt: The “Supply Chain” Choice That Defines Your Data Velocity “Why...

Payment Platforms_ Driving Growth with Data-Driven Strategy
Payment Platforms: Driving Growth with Data-Driven Strategy

Introduction Payment platforms are the Fintech infrastructure which facilitates the execution of electronic transactions between...

One Architecture_ From Data Fragmentation to AI Performance
One Architecture: From Data Fragmentation to AI

Executive Summary Global spending on data and analytics is projected by IDC to surpass 400...

Static Pipelines Are Becoming an Enterprise Liability
Static Pipelines Are Becoming an Enterprise Liability

Rigid execution forces leaders to manage costs, SLAs, and priorities manually Executive Summary Enterprise data...

Custom Pipelines vs. Managed ELT:
Custom Pipelines vs. Managed ELT: An Executive

“Why the fastest way to build your pipeline is often the most expensive way to...

What Is Data Governance? Framework, Benefits &

Data Lake or Data Warehouse: Which one powers your data best? What is a Data...

OLTP vs OLAP: Key Differences in Data

In modern data systems, two architectures play fundamentally different roles: OLTP and OLAP. 1.OLTP (Online...

Designing Cloud Data Platforms
Designing Cloud Data Platforms That Evolve Without

Stop Rebuilding Your Data Platform How architectural decoupling turns change from disruption into controlled evolution...

A Structural Approach to Enterprise Data Platforms
A Structural Approach to Enterprise Data Platforms

Designing Platforms That Survive Orchestration Change Building architectural guardrails that keep execution frameworks interchangeable Executive...

Controlling Cloud Data Costs
Controlling Cloud Data Costs Without Slowing Insight

How leaders scale analytics economically without introducing friction, latency, or governance debt Executive Summary Controlling...

5 Ways to Make Analytics Faster
5 Ways to Make Analytics Faster

For CXOs, analytics works best when it keeps up with the speed of decision-making. The...

Event-Driven Pipelines
Event-Driven vs Scheduled Data Pipelines

Event-Driven vs Scheduled Data Pipelines – Which balance cost and responsiveness better? As your company...

Redshift vs big query
Selecting Your Cloud Warehouse: When to Choose

How architectural choices drive shape cost, control, and scalability in analytics. Executive Summary Choosing the...

Data Ownership
Choosing Data Ownership Based on Decision Impact

This article examines when centralized data ownership stops scaling, when decentralization becomes necessary, and why...

Answering Strategic Questions
Answering Strategic Questions through High Impact Dashboards

Select dashboards based on high-impact leadership questions to accelerate measurable decision outcomes. Executive Summary Most...

Data Observability
Data Observability as Foundational Infrastructure for Enterprise

A comprehensive perspective on how data observability enables reliability, accountability, and trust in enterprise analytics...

Prioritizing Dashboard Rollouts
Prioritizing Dashboard Rollouts: A Data Driven Guide

Compare Sales, Finance, and Operations to determine where early ROI and adoption will accelerate fastest....

Choosing the Right Analytics Approach for Your Business
Choosing the Right Analytics Approach for Your

Introduction: Why the Right Analytics Strategy Matters Businesses generate massive volumes of data every second—from...

Advanced Analytics Success FI
Future-Proof Your Analytics Strategy: Partnering for Advanced

In today’s rapidly evolving business landscape, advanced analytics is no longer optional—it’s essential.  Organizations generate...

Implementing Advanced Analytics_1
Implementing Advanced Analytics for Smarter Decision-Making

Why Advanced Analytics Matters for Modern Decision-Making Modern businesses require more than intuition—they need advanced...

Digital Transformation Strategy - banner_1
Digital Transformation Strategy: Key Principles

A digital transformation strategy is no longer optional—it defines how organizations compete, scale, and remain...

AI in Data Analytics_1
Artificial Intelligence for Data Analytics

The Growing Role of AI in Data Analytic AI in data analytics is transforming how...

Recreating John Snow’s Viz in Tableau

London cholera outbreak slides London cholera outbreak viz Tableau workbook Data prep python code For...

Tableau Web Data Connector for FACTSET

This is how you create web data connector for FactSet in Tableau.

correlation
Basic Statistics in Tableau: Correlation

Statistics in Tableau Data in the right hands can be extremely powerful and can be...

segmentation
Tableau for Marketing: Become a Segmentation Sniper

Did you know that Netflix has over 76,000 genres to categorize its movie and tv...

Tableau Sales Performance Dashboard
Tableau Sales Dashboard Performance

Driving Sales Performance with Tableau Dashboards Executive Overview Business leaders don’t need more reports —...

Tableau Filtering
Tableau Filtering Actions Made Easy

TABLEAU FILTERING ACTIONS MADE EASY This is a guest post provided by Vishal Bagla, Chaitanya Sagar, and...

How to Perform the Principal Component Analysis

Implementing Principal Component Analysis (PCA) in R Give me six hours to chop down a...

How to Create Histograms in R

Histogram in R How to create histograms in R To start off with analysis on...

10 Smart R Programming Tips to become

Coding is the process by which a programmer converts tasks from human-readable logic to machine-readable...

How to Perform Hierarchical Clustering in R

Over the last couple of articles, We learned different classification and regression algorithms. Now in this...

Feature Selection Techniques with R

Working in machine learning field is not only about building different classification or clustering models. It’s more...

How to Perform Reinforcement Learning with R

Reinforcement Learning with R Machine learning algorithms were mainly divided into three main categories. Supervised learning algorithms...

Twitter sentiment analysis R
Twitter Sentiment Analysis using R

In the past one decade, there has been an exponential surge in the online activity...

Programming with R – How to Get

Categorical data is a kind of data which has a predefined set of values. Taking...

Performing Nonlinear Least Square and Nonlinear Regressions

Linear regression is a basic tool. It works on the assumption that there exists a linear...

markov chains
A Beginner’s Guide to Channel Attribution Modeling

Introduction In a typical ‘from think to buy’ customer journey, a customer goes through multiple...

Neural Network
Creating & Visualizing Neural Network in R

Introduction Neural network is an information-processing machine and can be viewed as analogous to human...

time series
Modelling Time Series Processes using GARCH

To go into the turbulent seas of volatile data and analyze it in a time...

Data Visualization
Choropleth Maps in R

Choropleth maps provides a very simple and easy way to understand visualizations of a measurement...

Web Scraping
A Primer on Web Scraping in R

If you are a data scientist who wants to capture data from such web pages...

propensity-scores
Propensity Score Matching in R

Propensity scores are an alternative method to estimate the effect of receiving treatment when random...

Optimization Using R

Optimization is a technique for finding out the best possible solution for a given problem...

SVR
Building Regression Models in R using Support

The article studies the advantage of Support Vector Regression (SVR) over Simple Linear Regression (SLR)...

text mining
Tips for Getting Started with Text Mining

It All Starts With The Text There is so much of information lying in the...

missing values
A Solution to Missing Data: Imputation Using

Handling missing values is one of the worst nightmares a data analyst dreams of. In...

glm
Learn Generalized Linear Models (GLM) using R

In this article, we aim to discuss various GLMs that are widely used in the...

svm
Machine Learning Using Support Vector Machines

Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The...

Implementing Parallel Processing in R

If something takes less time if done through parallel processing, why not do it and...

k-means clustering
Exploring Assumptions of K-means Clustering using R

K-Means Clustering is a well known technique based on unsupervised learning. As the name mentions,...

Hierarchical Clustering
How to Perform Hierarchical Clustering using R

What is Hierarchical Clustering? Clustering is a technique to club similar data points into one...

Understanding Naïve Bayes Classifier Using R

The Best Algorithms are the Simplest The field of data science has progressed from simple...

Whys and Hows of Apply Family of

Introduction to Looping system Imagine you were to perform a simple task, let’s say calculating...

Steps to Perform Survival Analysis in R
Steps to Perform Survival Analysis in R

Another way of analysis? When there are so many tools and techniques of prediction modelling,...

Discriminant Analysis Statistics
Discriminant Analysis: Statistics All The Way

Discriminant analysis is used when the variable to be predicted is categorical in nature. This...

Anomaly Detection
Anomaly Detection in R

The World of Anomalies Detecting anomalies — unusual or unexpected events in data — is...

Overview of Analytics in Marketing and Sales
Overview of Analytics in Marketing and Sales

Every business would have silos of business data in its marketing/sales department.

Forget Departmental Stores; Superstores are the Trend!

Do you know that Departmental stores are being replaced by Warehouse clubs and Super stores?...

blog 1
Segmentation and Cross-Sell Opportunity – A Video

Check out this video case study that talks about segmentation and identifying cross-sell opportunities.

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adwords spend optimizer
Generate higher conversions with AdWords Spend Optimizer

Search Engine Marketing is Great! But You Can End Up Spending Too Much! In a...

Markdown Optimization
Markdown Optimization – Modeling Markdowns to Maximize

Markdown Optimization – Modeling Markdowns to Maximize Revenue Markdowns are omnipresent in retailing and play...

Marketing Mix Model
Optimizing Marketing Spend with Marketing Mix Modeling

Optimizing Marketing Spend with Marketing Mix Modeling Marketers in CPG industry are constantly faced with...

Investment Decision Support for CFO
Investment Decision Support for CFO

Investment Decision Support for CFO Our client is the CFO of a mid – sized...

Coupons
Reinventing Coupons: Strategies for Successful Coupon Campaign

Reinventing Coupons: Strategies for a Successful Coupon Campaign  Coupons are recognized to be a highly...

Web Analytics Case Study: Leveraging Web Analytics

Leveraging Web Analytics for Customer Acquisition The client is a financial services company based in...

Identifying Cross Selling Opportunities

Identifying Cross Selling Opportunities PayAvenue is a payment gateway provider that allows users to pay...

Inventory Optimization for a Food Distribution Channel
Inventory Optimization for a Food Distribution Channel

Inventory Optimization for a Food Distribution Network NiteFoodie is a medium sized American fast food...

Location Strategy to Improve Effectiveness of a Branch Network
Location Strategy to Improve Effectiveness of a

Location Strategy to Improve Effectiveness of a Branch Network This report draws attention to the...

Financial Forecasting Tool for a Silicon Valley

Financial Forecasting Tool for a Silicon Valley Startup GreatSoft, Inc. is a hi-tech company based...

Route Optimization Case Study
Case Study on Route Optimization

Route Optimization Case Study The client is a logistics company with around 250 branches and...

Search Engine Marketing
Marketing Analytics: How to Multiply Results from

In this article series we explain how to analyze and find right keywords from Google...

Analyzing Text Using Word Clouds

Analyzing Text: Word clouds is a great way to analyze underlying patterns in Text. Here’s...

Generate Insights from Data 2
A Video Casestudy on Marketing Data Analytics

Let Your Data Speak Do you realize that your data has hidden treasures? Something that...

AI for FP&A and Supply Chain: Approaches,

FP&A and supply chain executives are under pressure to have improved forecast accuracy, enhanced operational...

How To Evaluate AI Consulting Partners for

Companies searching for AI consulting firms are finding that not only do most firms offer...

Financial Modelling – A Video Case Study

Video case study on Financial modelling

blog 3
Investment Banking – A Video Case Study

This is a video case-study on Investment Banking

Investment Decision Support for CFO
Investment Decision Support for CFO

Investment Decision Support for CFO Our client is the CFO of a mid – sized...

Investment Decision Support for CFO.ver 0.2
Financial Modeling to Determine Customer Tariff

Financial Modeling to Determine Customer Tariff The client decided to spin off its gas division...

Financial Modeling decision
Financial Modeling to Support Investment Decision Analysis

Executive Summary : Financial Modeling to Support Investment Decision Analysis The client, a non-profit art organization...

India’s Macroeconomic Policy
India’s Macroeconomic Policy: Locked in an Anti-Growth

India’s Macroeconomic Policy: Locked in an Anti-Growth Trap This report draws attention to the poor...

Business Model for a Hedge Fund
Business Model for a Hedge Fund

Business Model for a Hedge Fund The client has started a closed-ended hedge fund of...

How To Evaluate AI Consulting Partners for

Companies searching for AI consulting firms are finding that not only do most firms offer...

segmentation
Tableau for Marketing: Become a Segmentation Sniper

Did you know that Netflix has over 76,000 genres to categorize its movie and tv...

Perceptive Analytics
Let Your Data Speak

Twitter Analytics
Insights Using Twitter Information to Target Your

How can you use twitter to know which geographies to target your customers through twitter?...

adwords spend optimizer
Generate higher conversions with AdWords Spend Optimizer

Search Engine Marketing is Great! But You Can End Up Spending Too Much! In a...

Marketing Mix Model
Optimizing Marketing Spend with Marketing Mix Modeling

Optimizing Marketing Spend with Marketing Mix Modeling Marketers in CPG industry are constantly faced with...

Search Engine Marketing
Marketing Analytics: How to Multiply Results from

In this article series we explain how to analyze and find right keywords from Google...

Targeting Customers
Target the Right Customers

Do you know how much spam are you creating? Do you customers appreciate your marketing...

Understanding your customers better
Understand Your Customers Better

Do know your customers well? Where do they come from? Why did they buy your...

How Looker Consulting Services Automate and Prioritize Ad-Hoc Reporting
How Looker Consulting Services Automate and Prioritize

Ad-hoc reporting is where most analytics teams quietly lose control. Requests pile up, SLAs slip,...

Elementor #8738

Download this guide as a PDF Please enable JavaScript in your browser to complete this...

Redshift vs big query
Selecting Your Cloud Warehouse: When to Choose

How architectural choices drive shape cost, control, and scalability in analytics. Executive Summary Choosing the...

ai-chatbots-increase-sales-and-conversions
How AI Chatbots Increase Sales and Conversions

Slow response kills deals. Delayed follow-ups drain pipelines. And overwhelmed sales teams miss easy wins....

From Liquidity to Profitability: The Must-Have Dashboards

Executive Introduction Today’s CFOs juggle shrinking margins, volatile forecasts, and board requests that can’t wait...

customer

Optimization Using R

Optimization is a technique for finding out the best possible solution for a given problem...

How to implement Random Forests in R

Imagine you were to buy a car, would you just go to a store and...

Exploratory analysis in R
Exploratory Factor Analysis in R

Changing Your Viewpoint for Factors In real life, data tends to follow some patterns but...

Marketing Analytics Word Cloud
Word Cloud of Our Customer Names

Word cloud is a powerful way to analyze patterns in text, particularly keywords in Internet...

See your data in New Light
See Your Data in New Light

When you visualize data, you see it in new light. If you really want to...

Increase Marketing ROI
Increase Marketing ROI

Would you like to increase Marketing ROI? Do you need insights about which channel is...

Pilot Training – A Video Case Study

A video case study on Pilot Training

Wisdom 6

Learn more about us: Tableau Consulting Marketing Analytics Companies  Data Analytics for E-commerce Data Analytics...

Modernizing Legacy BI Pipelines: Strategies, Semantic Models,

A lot of enterprises use existing BI pipelines, based on batch ETL jobs, data silos...

Modern Data Pipeline Strategies and How Leading

Data Pipelines are vital to digital transformation. With the evolution of cloud platforms, artificial intelligence,...

How to Maximize ROI From AI Strategy

The companies adopting FP&A and RevOps solutions that use AI have to prove their capacity...

Perceptive Analytics
Let Your Data Speak

Perceptive Analytics
Ratan Tata’s Survey: How to Make India

Ratan Tata has recently asked a question on twitter – “What should we do to...

Pilot Training – A Video Case Study

A video case study on Pilot Training

blog 3
Investment Banking – A Video Case Study

This is a video case-study on Investment Banking

blog 1
Segmentation and Cross-Sell Opportunity – A Video

Check out this video case study that talks about segmentation and identifying cross-sell opportunities.

Tableau Filtering
Tableau Filtering Actions Made Easy

TABLEAU FILTERING ACTIONS MADE EASY This is a guest post provided by Vishal Bagla, Chaitanya Sagar, and...

How to Perform the Principal Component Analysis

Implementing Principal Component Analysis (PCA) in R Give me six hours to chop down a...

How to Create Histograms in R

Histogram in R How to create histograms in R To start off with analysis on...

10 Smart R Programming Tips to become

Coding is the process by which a programmer converts tasks from human-readable logic to machine-readable...

How to Perform Hierarchical Clustering in R

Over the last couple of articles, We learned different classification and regression algorithms. Now in this...

Feature Selection Techniques with R

Working in machine learning field is not only about building different classification or clustering models. It’s more...

How to Perform Reinforcement Learning with R

Reinforcement Learning with R Machine learning algorithms were mainly divided into three main categories. Supervised learning algorithms...

Twitter sentiment analysis R
Twitter Sentiment Analysis using R

In the past one decade, there has been an exponential surge in the online activity...

Programming with R – How to Get

Categorical data is a kind of data which has a predefined set of values. Taking...

Performing Nonlinear Least Square and Nonlinear Regressions

Linear regression is a basic tool. It works on the assumption that there exists a linear...

markov chains
A Beginner’s Guide to Channel Attribution Modeling

Introduction In a typical ‘from think to buy’ customer journey, a customer goes through multiple...

Neural Network
Creating & Visualizing Neural Network in R

Introduction Neural network is an information-processing machine and can be viewed as analogous to human...

time series
Modelling Time Series Processes using GARCH

To go into the turbulent seas of volatile data and analyze it in a time...

Data Visualization
Choropleth Maps in R

Choropleth maps provides a very simple and easy way to understand visualizations of a measurement...

Web Scraping
A Primer on Web Scraping in R

If you are a data scientist who wants to capture data from such web pages...

propensity-scores
Propensity Score Matching in R

Propensity scores are an alternative method to estimate the effect of receiving treatment when random...

Optimization Using R

Optimization is a technique for finding out the best possible solution for a given problem...

SVR
Building Regression Models in R using Support

The article studies the advantage of Support Vector Regression (SVR) over Simple Linear Regression (SLR)...

text mining
Tips for Getting Started with Text Mining

It All Starts With The Text There is so much of information lying in the...

missing values
A Solution to Missing Data: Imputation Using

Handling missing values is one of the worst nightmares a data analyst dreams of. In...

glm
Learn Generalized Linear Models (GLM) using R

In this article, we aim to discuss various GLMs that are widely used in the...

svm
Machine Learning Using Support Vector Machines

Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The...

Implementing Parallel Processing in R

If something takes less time if done through parallel processing, why not do it and...

k-means clustering
Exploring Assumptions of K-means Clustering using R

K-Means Clustering is a well known technique based on unsupervised learning. As the name mentions,...

Hierarchical Clustering
How to Perform Hierarchical Clustering using R

What is Hierarchical Clustering? Clustering is a technique to club similar data points into one...

Understanding Naïve Bayes Classifier Using R

The Best Algorithms are the Simplest The field of data science has progressed from simple...

Whys and Hows of Apply Family of

Introduction to Looping system Imagine you were to perform a simple task, let’s say calculating...

Steps to Perform Survival Analysis in R
Steps to Perform Survival Analysis in R

Another way of analysis? When there are so many tools and techniques of prediction modelling,...

Discriminant Analysis Statistics
Discriminant Analysis: Statistics All The Way

Discriminant analysis is used when the variable to be predicted is categorical in nature. This...

Anomaly Detection
Anomaly Detection in R

The World of Anomalies Detecting anomalies — unusual or unexpected events in data — is...

Why R
How Crucial is R for Mastering Data

Why Data Science? The Digital age is here. The world’s most valuable resource is no...

Comprehensive tutorial importing R
Comprehensive Tutorial on Data Importing in R

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