datapine

JUNE 9, 2022

Data monitoring has been changing the business landscape for years now. That said, it hasn’t always been that easy for businesses to manage the huge amounts of unstructured data coming from various sources. By the time a report is ready, the data has already lost its value due to the fast-paced nature of today’s context.

Dashboards 143

Dashboards Metrics Visualization Sales 143

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. The default output is log based.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

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

AWS Big Data

SEPTEMBER 8, 2023

Based on the open source OpenSearch suite, Amazon OpenSearch Service allows you to search, visualize, and analyze up to petabytes of text and unstructured data. Cluster manager (dedicated master): Responsible for managing the cluster and checking the health of the data nodes in the cluster. Go to Amazon Cloudwatch metrics.

Management 115

Management Metrics Measurement Unstructured Data 115

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

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

JANUARY 24, 2024

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. It provides smart applications for translation, speech-to-text, cybersecurity monitoring and automation.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

Smart Data Collective

DECEMBER 21, 2020

Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. At present, insurers use AI to assess individuals’ risk using quite generalized metrics, often based on their age, location, and gender. More accurate policy pricing.

Insurance 142

Insurance Cost-Benefit Big Data Unstructured Data 142

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

CIO Business Intelligence

AUGUST 9, 2024

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. They Are Predictive.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

CIO Business Intelligence

JUNE 21, 2022

Many enterprises continue to base their IT governance on cost and performance service level agreement (SLA) metrics. Unfortunately, these metrics tend to be lagging indicators. He says that it’s also important to have deep visibility into both structured and unstructured data in order to build an effective content governance program.

IT 116

IT Risk Measurement Risk Management 116

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.

Marketing 137

Marketing Data Analytics Analytics Big Data 137

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

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 111

Analytics Data Lake Unstructured Data Data Strategy 111

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

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 120

Data Lake Unstructured Data Management Snapshot 120

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 60

Analytics Data Lake Metadata Data Warehouse 60

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

Smart Data Collective

MARCH 30, 2021

According to Forbes , 95% of businesses cite the need to manage unstructured data as a problem for their business. You may imagine what a tremendous amount of marketing data we leave unused? Basic SEO metrics. Especially thinking we already have it at our disposal.

Data-driven 112

Data-driven Sales Big Data Marketing 112

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

FineReport

OCTOBER 25, 2021

As it transforms your business into data-driven one, data could thus exploit their intrinsic value to the fullest by visualizations. I am sure no staff is willing to endure colossal, unstructured data processing as it is time-consuming and boring. How to Create Your Own Data Dashboard—Guidance.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

Occam's Razor

NOVEMBER 5, 2007

Every solid web decision making program (call it Web Analytics or Web Metrics or Web Insights or Customer Intelligence or whatever) in a company will need to solve for the Five Pillars: ClickStream, Multiple Outcomes, Experimentation & Testing, Voice of Customer and Competitive Intelligence. No one wants to look bad by comparison!

Analytics 98

Analytics Experimentation Metrics Measurement 98

Octopai

FEBRUARY 8, 2020

The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). Unfortunately, these errors were not caught until too late, for example: 1. So, the software miscalculated. They ignored all the warning signs.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

Octopai

JANUARY 31, 2022

Enterprises often use data sources originating outside their organization, including data sets from the internet, the IoT, industrial sources, and scientific sources. Some of these data assets are structured and easy to figure out how to integrate. Many others are rich, unstructured data sources like documents and videos.

Metadata 97

Metadata IT Unstructured Data IoT 97

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

Sisense

OCTOBER 16, 2019

The metrics need to fit the organization and not the other way around. The lower level metrics should be derived from the way you measure the high-level ones. Keep it simple: Even for bigger projects, you should aim to end up with a number of metrics that you need less than two hands to count.

Management 76

Management IT Dashboards Business Intelligence 76

DataRobot

NOVEMBER 9, 2021

For our baseline model, we use the pre-calculated time series features from the UCI HAR dataset so that DataRobot is able to build the model with the following performance metrics. With DataRobot Visual AI, adding unstructured data like images can help improve signal classification performance without significant effort.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

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?

Recreation/Entertainment 92

Recreation/Entertainment Cost-Benefit Digital Transformation Scorecard 92

CIO Business Intelligence

MARCH 19, 2024

The 2000s: Spending spree September 2003: Autonomy completes its purchase of video management software vendor Virage and rebuilds the company’s software on its own IDOL (Intelligent Data Operating Layer) unstructured data management platform. March 2004: Autonomy acquires NativeMinds and Cardiff Software.

Software 105

Software Sales Unstructured Data Enterprise 105

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

datapine

FEBRUARY 22, 2022

With metrics such as the number of sales, revenue, profit, and costs, c-level executives, managers, and sales VPs can get at a glance information about their goals completion and other relevant insights regarding their strategies. It takes time and knowledge to make the best out of such assets, as well as a solid planification.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

AUGUST 21, 2024

Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says. These databases allow us to efficiently store and query large amounts of unstructured data, which is essential for many of our AI applications,” he says.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

DECEMBER 4, 2023

As data skyrockets—especially unstructured data—organizations need an intentional plan and ongoing approach to protect, manage, and optimize data for monetization. The ways modern data is used, processed, and analyzed are continuously evolving as machine learning technology becomes better at these tasks.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Sisense

JUNE 26, 2020

Machine learning and advanced analytics are helping humans make sense of large amounts of structured and unstructured data by leaning into our natural ability to make a better sense of visuals than the raw data we want to understand. In our modern digital world, we have huge amounts of data all around us.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97