Smart Data Collective

OCTOBER 17, 2022

Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Like any other marketing strategy, you must measure email performance. Types of data analytics. There are four types of data analytics for various marketing reasons. Segmentation. Automation.

Marketing 128

Marketing Optimization Data Analytics Analytics 128

Smart Data Collective

NOVEMBER 29, 2022

Data analytics technology has had a profound effect on the nature of customer engagement. Analytics is especially important for companies trying to optimize their online presence. Website optimization is absolutely vital for any brand striving to do business online. Optimize for mobile.

Optimization 124

Optimization Data Analytics Analytics Analytics Technologies 124

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

datapine

JUNE 7, 2021

In SEO, domain authority directly pinpoints the trustworthiness of a website by measuring it on a scale of 0-100. The most ideal way to optimize for Image SEO is to write updated ALT tags of your images on the site. You need to ensure the images are optimized in size, which will help your landing page load quickly in web browsers.

Metrics 205

Metrics Optimization KPI Visualization 205

datapine

APRIL 3, 2020

A call center dashboard is an intuitive visual reporting tool that displays a range of relevant call center metrics and KPIs that allow customer service managers and teams to monitor and optimize performance and spot emerging trends in a central location. Put simply, customer service is the beating heart of your entire operation.

Dashboards 201

Dashboards Data-driven Reporting Analytics 201

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

datapine

SEPTEMBER 4, 2019

That being said, in this post, we will explain what is a dashboard in business, the features of strategic, tactical, operational and analytical dashboards, and expound on examples that these different types of dashboards can be used. An effective dashboard combines information dynamically to measure performance and drive business strategy.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

CIO Business Intelligence

APRIL 30, 2025

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. We use AI to scale our mission, not replace our people.

IT 132

IT Sales Cost-Benefit Data-driven 132

DataKitchen

NOVEMBER 5, 2024

This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer. At the same time, the Gold layer’s “single version of the truth” makes data accessible and reliable for reporting and analytics.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Smart Data Collective

JULY 11, 2022

The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits. Data analytics technology is very helpful for companies trying to optimize their social media marketing strategy.

Data Analytics 145

Data Analytics Analytics Advertising Big Data 145

CIO Business Intelligence

JANUARY 21, 2025

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

datapine

JUNE 5, 2019

Exclusive Bonus Content: Ready to make analytics straightforward? Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual.

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

DECEMBER 20, 2024

Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. Real-time analytics.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

datapine

OCTOBER 7, 2020

What gets measured gets done.” – Peter Drucker. By setting operational performance measures, you will know what is happening at every stage of your business. Since every business is different, it is essential to establish specific metrics and KPIs to measure, follow, calculate, and evaluate. Who will measure it?

KPI 269

KPI Metrics Sales Visualization 269

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

Optimization 128

Optimization Testing Data-driven Strategy 128

CIO Business Intelligence

APRIL 8, 2025

Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality. These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Smart Data Collective

MAY 28, 2021

One of the most important benefits lies in understanding the customer journey and optimizing their experience to maximize conversions. Data Analytics is Important for Understanding Customer Behavior in eCommerce. Now, we will explore some best practices for creating a CJM for an e-commerce store with the right data analytics tools.

Data Analytics 145

Data Analytics Analytics Big Data Measurement 145

AWS Big Data

JULY 11, 2024

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. The newly introduced OR1 instances are ideally tailored for heavy indexing use cases like log analytics and observability workloads. OR1 instances use a local and a remote store.

Optimization 115

Optimization Metrics Data Processing Snapshot 115

datapine

FEBRUARY 14, 2021

That’s why it’s critical to monitor and optimize relevant supply chain metrics. Try our modern logistics analytics software for 14 days, completely free! The days sales outstanding (DSO) KPI measures how swiftly you are able to collect or generate revenue from your customers. What Are Supply Chain Metrics?

Metrics 260

Metrics KPI Dashboards Sales 260

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Access to data has done that.

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 144

Manufacturing Marketing Data Analytics Analytics 144

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Smart Data Collective

NOVEMBER 5, 2023

Marketing analytics has become a dealmaker in the business world. Companies are projected to spend over $10 billion on marketing analytics technology in 2028. The digital marketing sector is among those most influenced by the benefits of analytics technology. You will want to consider using marketing analytics as well.

Marketing 128

Marketing Analytics Data-driven ROI 128

AWS Big Data

NOVEMBER 8, 2024

However, it also offers additional optimizations that you can use to further improve this performance and achieve even faster query response times from your data warehouse. One such optimization for reducing query runtime is to precompute query results in the form of a materialized view. We repeated the experiment using full recompute.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

AWS Big Data

MARCH 12, 2024

As part of the results, we show how AWS Glue Data Quality provides information about the runtime of extract, transform, and load (ETL) jobs, the resources measured in terms of data processing units (DPUs), and how you can track the cost of running AWS Glue Data Quality for ETL pipelines by defining custom cost reporting in AWS Cost Explorer.

Data Quality 115

Data Quality Measurement Testing Visualization 115

AWS Big Data

OCTOBER 3, 2023

Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB. For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. impl":"org.apache.iceberg.aws.s3.S3FileIO",

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. For example, AWS Glue 4.0

Optimization 122

Optimization Metrics Interactive Data Integration 122

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

DataKitchen

APRIL 13, 2021

Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics.

Testing 304

Testing Machine Learning Consulting Data Science 304

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Data Change Request Ratio metric measures the rate of business demand for data.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

DataKitchen

SEPTEMBER 20, 2021

The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. According to a recent Gartner survey, data teams spend only 22% of their time on “data innovation, data monetization and enhanced analytics insights.” Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

O'Reilly on Data

NOVEMBER 19, 2024

decomposes a complex task into a graph of subtasks, then uses LLMs to answer the subtasks while optimizing for costs across the graph. presented the TRACE framework for measuring results, which showed how GraphRAG achieves an average performance improvement of up to 14.03%. For example, “ Graph of Thoughts ” by Maciej Besta, et al.,

Unstructured Data 318

Unstructured Data Structured Data Statistics Modeling 318

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. 3) Self-serve Beer And Big Data.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

CIO Business Intelligence

FEBRUARY 20, 2025

The new requirements will include creative and analytical thinking, technical skills, a willingness to engage in lifelong learning and self-efficacy. While data tends to be used in tactical-operational areas such as HR reporting and controlling, there is still room for improvement in the strategic area of people analytics.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136