IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

DataKitchen

JANUARY 19, 2022

DataKitchen acts as a process hub that unifies tools and pipelines across teams, tools and data centers. DataKitchen could, for example, provide the scaffolding upon which a Snowflake cloud data platform or data warehouse could be integrated into a heterogeneous data mesh domain.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. Data mining. That was in the 1900’s.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Birst BI

OCTOBER 30, 2018

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 88

Data Warehouse Metrics Statistics Optimization 88

Occam's Razor

APRIL 4, 2011

Any application of algorithmic intelligence , weighted sort , expected range for metric values ( control limits ), or anything that even remotely smells of ever so slightly advanced statistics is a good sign. Also mere existence of statistics is not sufficient. Unknown unknowns are what it's all about! Look for that. #9.

Reporting 127

Reporting Metrics Dashboards Statistics 127

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

OCTOBER 24, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. The following table summarizes these metrics.

Metrics 85

Metrics Statistics Data Warehouse Cost-Benefit 85

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Think of it like something that houses the metrics used to power daily, weekly, or monthly business KPIs. roll-ups of many rows of data).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Alation

MAY 24, 2022

The data quality category, like many in the data ecosystem, is fast evolving and expanding. Consequently, there is no one approach to data quality. To some it means profiling statistics, like min, max, median, and null; to others it means producing an aggregate quality score that can be interpreted as good or bad.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Smart Data Collective

JUNE 16, 2022

A user can ask for data to be examined so that they can see a spreadsheet with all of an industry’s beach ball products that are sold in Florida in July, compare revenue statistics with all those for almost the same items in September, and compare other demand for a product in Florida during the same time period.

Online Analytical Processing 129

Online Analytical Processing OLAP Analytics Data Warehouse 129

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 141

Business Intelligence Dashboards Data mining OLAP 141

Occam's Razor

DECEMBER 3, 2008

If you want to have a move your career forward in web analytics (from a Metrics Analyst) here are the four options for you (and yes they all will help you make more money, some more than others): |1| Technical Individual Contributor. Your deep understanding of statistics etc is not required. Manager, Web Metrics.

Analytics 115

Analytics Consulting Metrics Reporting 115

Alation

JULY 19, 2022

In this way, a data scientist benefits from business knowledge that they might not otherwise have access to. The catalog facilitates the synergy of the domain experts’ subject matter expertise with the data scientists statistical and coding expertise. Modern data catalogs surface a wide range of data asset types.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

JULY 13, 2023

To verify the data quality of the sources through statistically-relevant metrics, AWS Glue Data Quality runs data quality tasks on relevant AWS Glue tables. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 91

Optimization B2B Data Quality Sales 91

Sisense

AUGUST 22, 2019

To perform the most advanced business intelligence, you need to move past the KPIs and metrics possible in SQL and begin to use more powerful and flexible tools such as Python and R. This new type of analytics workflow means advanced analytics can happen faster, with accurate and up-to-date data.

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

Cloudera

SEPTEMBER 17, 2020

Because DE is fully integrated with the Cloudera Shared Data Experience (SDX), every stakeholder across your business gains end-to-end operational visibility, with comprehensive security and governance throughout. For starters it lacks metrics around cpu, memory utilization that are easily correlated across the lifetime of the job.

Visualization 105

Visualization Metrics Statistics Optimization 105

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In the Table statistics section, you will see an output similar to the following screenshot. Srinivas Kandi is a Data Architect at AWS Professional Services.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Using column statistics , Iceberg offers efficient updates on tables that are sorted on a “key” column.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

JANUARY 25, 2022

In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more.

Metadata 52

Metadata IT Metrics Data-driven 52

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. success measures.

Analytics 118

Analytics Consulting Metrics Experimentation 118

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. GE formed its Digital League to create a data culture. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

ROI 211

ROI Metrics Measurement Cost-Benefit 211

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Cloudera

MAY 18, 2021

To simplify the output by means of statistical summarization, I have plotted the arithmetic mean (solid line) for RHEL and Linux operating systems and the 95% confidence interval (shaded area surrounding each solid line) for each utilization scenario and O/S type. data streaming, data engineering, data warehousing etc.),

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

Jet Global

MARCH 24, 2024

Non-profit metrics quantify the organization’s many endeavors in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What is a kpi?

Metrics 52

Metrics Reporting KPI Measurement 52

Jet Global

JUNE 24, 2021

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 98

Metrics Reporting KPI Measurement 98

Jet Global

JUNE 24, 2023

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 52

Metrics Reporting KPI Measurement 52

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. The power of Presto in Uber’s data-driven journey Today, Uber relies on Presto to power some impressive metrics.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

Alation

JANUARY 27, 2022

The proliferation of data sources means there is an increase in data volume that must be analyzed. Large volumes of data have led to the development of data lakes , data warehouses, and data management systems. Despite its immense value, a variety of data can create more work.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52