DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . Visualizations updated per week increased from 50 to 1500.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

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

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Creating predictive models.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. This allows them to make informed decisions about the next steps in their analysis or modeling process.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’. Use Case – 2.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Data Pattern : Input data exhibits level and strong upward trend but no seasonality.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 26, 2018

Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps. Let’s look at two use cases: Use Case – 1.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Business Benefit: By analyzing the various combinations of predictor variables, the business can forecast product growth, trends, patterns and seasonality, if any.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 29, 2018

For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 26, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Use Case – 1.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. Linear Trend. A linear pattern is a continuous decrease or increase in numbers over time.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

Here, the dependent variable would be ‘Purchase Amount’ Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the purchase amounts of both segments.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 27, 2018

In this example, the segments that have a response rate higher than the overall response rate can be targeted first since they will require less effort to convert to a purchase, whereas a different marketing strategy must be devised for the lower segments (segments that have a response rate less than the overall rate).

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

To understand the value of this applied technique, let’s consider two business use cases. Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Use Case – 1.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Cloudera

NOVEMBER 2, 2020

As such, many customers are building RTDW applications as part of their overall strategy of using Cloudera to modernize their data warehouse practice. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. Analytics storage and query engine for pre-aggregated event data. Tech Preview).

Data Warehouse 93

Data Warehouse Optimization Dashboards Interactive 93