datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Cognitive computing is a BI buzzword that we will hear more often in 2020. Graph analytics has revolutionized business intelligence.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud. Use KPIs to track important data flow metrics.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 137

Big Data Data-driven IT Sales 137

datapine

FEBRUARY 22, 2022

With this issue in mind, the BI industry has developed multiple solutions that rely on data visualizations to give a more friendly and intuitive approach to business analytics. Let’s see this with an example of a sales dashboard. Choose a few KPIs and build a few business dashboards as examples. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

FEBRUARY 26, 2025

It enables in-order reads during stream scale-up or scale-down, supports Flinks native watermarking, and improves observability through unified connector metrics. You can use the new connector to read data from a Kinesis data stream starting with Flink version 1.19. and provides several enhancements.

Analytics 65

Analytics Data Lake Metadata Data Warehouse 65

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. There is no need to hire expensive data analysts. 2- SEMrush For SEO.

Marketing 137

Marketing Data Analytics Analytics Big Data 137

CIO Business Intelligence

APRIL 8, 2025

Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data. Low cost, flexibility, captures diverse data sources. Easy to lose control, risk of becoming a data swamp. Exploratory analytics, raw and diverse data types.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Sisense

OCTOBER 16, 2019

This might sound bafflingly obvious, but you’d be surprised how many times I’ve seen organizations skipping this step and going straight to building their KPI dashboards , without stopping for a second to think whether these KPIs are even relevant to the current project. The metrics need to fit the organization and not the other way around.

Management 76

Management IT Dashboards Business Intelligence 76

IBM Big Data Hub

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse.

Analytics 79

Analytics Predictive Analytics Unstructured Data Data-driven 79

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

bridgei2i

FEBRUARY 24, 2021

Many organizations today are dealing with large amounts of structured and unstructured data. And the fresh challenge is to derive actionable insights from that data, which is impacting their business outcomes. How do you track and report the impact of these metrics on key business outcomes? Now, this sounds interesting.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

CIO Business Intelligence

JUNE 14, 2023

An airline carrier needs to know how many gates are open and how many passengers are on each plane – metrics that change from moment to moment. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data?

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

JUNE 10, 2022

Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access. Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Dashboards. Business Intelligence.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 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. This catalog is used by the AWS Glue ETL job, Athena query engine, and QuickSight dashboard.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

IBM Big Data Hub

JANUARY 16, 2024

Serving as a one-stop shop, it measures, reports, creates baselines and provides a unified dashboard view of the carbon footprint across the hybrid cloud environment—including private data centers, public cloud and user devices. It’s a crucial metric for gauging the environmental impact of data center operations.

IT 84

IT Cost-Benefit Consulting Metrics 84

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

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. Build a data vault schema for the raw vault and create materialized views for the business vault.

Data Warehouse 95

Data Warehouse Data Lake Cost-Benefit Metadata 95

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. They were able to use Amazon Redshift Serverless to serve their key stakeholders with dashboards with financial data for quick decision-making.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

Data Insight

OCTOBER 27, 2021

For example, looking at groups of data to compare certain metrics and then taking action or highlighting insights to employees, or searching a large breadth of data to find new perspectives on business challenges. Always-on rapid decisioning While Data Analysts can be highly skilled at what they do, they aren’t available 24/7.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 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

BI-Survey

FEBRUARY 27, 2025

Leading-edge: Does it provide data quality or anomaly detection features to enrich metadata with quality metrics and insights, proactively identifying potential issues? AI Model Governance As laid out earlier, the scope of data governance is expanding as AI governance has become an additional requirement.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

CIO Business Intelligence

MAY 6, 2025

Too often, organizations conflate dashboards with intelligence. These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. The new analytics mandate is descriptive, predictive and prescriptive in context.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78

Jet Global

MAY 9, 2025

The Challenge of Capturing Human Input Modern data architectures, like Microsoft Fabric, excel in collecting and processing system-generated data. Whether transactional data, operational metrics, or system logs, these platforms are optimized to deliver analytical insights from structured sources.

Visualization 52

Visualization Dashboards Reporting Data Architecture 52