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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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 114

Data Lake Analytics Dashboards Metrics 114

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

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

IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. However, data scientists should monitor results gathered through unsupervised learning.

Machine Learning 65

Machine Learning Optimization Unstructured Data Sales 65

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 107

Big Data IT Data-driven Sales 107

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

CDW Research Hub

MAY 24, 2021

It encompasses other components, including data security that focuses primarily on protecting unstructured data in storage from unauthorized access, use, loss or modification. Measure your information security program by developing meaningful metrics.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

Smarten

JUNE 10, 2022

Traditional business intelligence is focused on reporting and queries, whereas advanced analytics is focused on the analysis of structured and unstructured data to optimize, correlate and predict the activities and strategies that will help the business succeed and to predict results. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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 134

Insurance Cost-Benefit Big Data Unstructured Data 134

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

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 91

Data-driven Sales Big Data Marketing 91

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 107

Marketing Data Analytics Analytics Big Data 107

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?

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

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 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. You can use Amazon EMR for streaming data processing to use your favorite open source big data frameworks.

Analytics 114

Analytics IoT Data-driven Snapshot 114

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. Automated insights AI can undertake ongoing analytical work autonomously and at scale.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Jedox

FEBRUARY 13, 2019

AI can assist in developing a common strategic vision and help the FP&A function develop a better understanding of the business’s key metrics. These new tools will support ad-hoc reporting that can leverage unstructured data. A Vision for AI-enhanced Businesses.

IT 54

IT Finance Cost-Benefit Unstructured Data 54

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Alation

SEPTEMBER 9, 2021

Data governance means putting in place a continuous process to create and improve policies and standards around managing data to ensure that the information is usable, accessible, and protected. In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

IBM Big Data Hub

AUGUST 28, 2023

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. Popular algorithms for topic modeling include Latent Dirichlet Allocation (LDA) and non-negative matrix factorization (NMF).

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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

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

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

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

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 Enterprise 111

DataKitchen

APRIL 13, 2021

A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Rivery – Automate, manage, and transform data so it can be fed back to stakeholders as meaningful insights. Service and Consulting Organizations with some DataOps experience.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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

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. However, these wide-ranging data types are typically stored in silos across multiple data stores.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

JANUARY 16, 2024

Figure 2: Green IT Analyzer platform, an IBM asset available on AWS Cloud Location-based methodology Understanding the carbon emissions from IT workloads requires familiarity with several key concepts and metrics. It’s a crucial metric for gauging the environmental impact of data center operations.

IT 86

IT Cost-Benefit Consulting Measurement 86

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 77

Metadata IT Unstructured Data IoT 77

Domino Data Lab

AUGUST 10, 2021

You expose the algorithm to training data, let the model analyze the output and adjust parameters until it achieves the desired goal. Unsupervised learning: the model is free to explore data and to identify patterns between variables. This is useful for grouping unstructured data based on statistical properties.

Modeling 64

Modeling IT Risk Management Deep Learning 64

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 89

Data Lake Analytics Snapshot Optimization 89

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

Jet Global

JUNE 18, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. Big data analytics software helps businesses of any size, in any industry, sort through the endless flow of data available to them to highlight the relevant insights.

Big Data 75

Big Data Software Data Analytics Analytics 75

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

Jet Global

OCTOBER 3, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. Big data analytics software helps businesses of any size, in any industry, sort through the endless flow of data available to them to highlight the relevant insights.

Big Data 53

Big Data Software Data Analytics Analytics 53