IBM Big Data Hub

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Smart Data Collective

OCTOBER 20, 2020

Some of the benefits of using data technology in conjunction with your GTM approach include: More easily defining a plan for your marketing and sales teams to follow. Defining the metrics and goals to measure the success of your business strategy. When you have the data in hand, you can make decisions with greater accuracy.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

FineReport

APRIL 9, 2024

Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets. The integration of clinical data analysis solutions empowers organizations to conduct ongoing assessments of care delivery, treatment effectiveness, and patient satisfaction.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

MARCH 31, 2022

In a slightly more technically-driven role, a BI developer is responsible for building, creating, or improving BI-driven solutions that help analysts transform data into knowledge, including data dashboards. They often are senior professionals with a lot of knowledge and experience in BI and all the roles just mentioned.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. See an example: Explore Dashboard. Need a different insight or query?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

datapine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A must-explore book for data science that is as intriguing as it is rewarding.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

datapine

JULY 24, 2019

Data has never been more readily accessible. Approaches to communication are changing, and success in today’s technology-driven world correlates directly to the quantity rather than the quality of one’s information—metrics relating to the business, the client, the competitor, and the market. An online BI dashboard.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. The "Action Dashboard" (An Alternative To Crappy Dashboards). "Engagement" Is Not A Metric, It's An Excuse. Data Mining And Predictive Analytics On Web Data Works? How to focus?"

KPI 124

KPI Metrics Measurement ROI 124

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

datapine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

datapine

MARCH 25, 2022

While using a business dashboard, all your information can be simplified into a single place, making the time for meaningful decisions much faster. Visual insights : Thanks to modern data visualizations, organizations can monitor productivity and spot trends in an interactive way.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Mobile content consumption, behavior along key metrics (time, bounces etc.) If you have ecommerce you will see key metrics related to money making.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

NOVEMBER 13, 2009

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. No metrics, data pukes, guidance on creating every more reports. A good thing.

Analytics 71

Analytics Metrics Measurement Testing 71

DataKitchen

OCTOBER 11, 2021

She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart. The data engineer then emails the BI Team, who refreshes a Tableau dashboard.

Testing 152

Testing Metadata Dashboards Statistics 152

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

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Decision Management Solutions

JULY 8, 2020

Generally, an organization identifies metrics or key performance indicators (KPIs) and each department receives the tools necessary to monitor their metrics. Organizations increasingly see value in making data-driven or analytic decisions. Not data, not reports, not dashboards. Monitoring.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

IBM Big Data Hub

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. It aims to understand what’s happening within a system by studying external data. billion business.

IT 54

IT Analytics Cost-Benefit Predictive Analytics 54

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. Reporting Reporting contains the flattest and most cleaned version of our data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

A stewardship dashboard, to track assets most ripe for curation and curation progress. An example of a stewardship dashboard for governance progress tracking. Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52