CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 138

Digital Transformation Unstructured Data Machine Learning Risk Management 138

CIO Business Intelligence

JANUARY 22, 2024

A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. Next is governance; the rules, policies, and processes to ensure data quality and integrity. The need for generative AI data management may seem daunting.

Unstructured Data 80

Unstructured Data Digital Transformation Data Strategy Modeling 80

Timo Elliott

JANUARY 3, 2022

Today’s data volumes have long since exceeded the capacities of straightforward human analysis, and so-called “unstructured” data, not stored in simple tables and columns, has required new tools and techniques. Improving data quality. Unexamined and unused data is often of poor quality. Learn More.

IT 137

IT Unstructured Data Data Quality Machine Learning 137

CIO Business Intelligence

MAY 24, 2022

In order to help maintain data privacy while validating and standardizing data for use, the IDMC platform offers a Data Quality Accelerator for Crisis Response.

Finance 127

Finance Management Metadata Data Quality 127

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 120

Unstructured Data Data-driven Visualization Data Quality 120

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 100

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 100

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

JUNE 7, 2022

NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. In large financial services organizations, this data includes everything from earnings reports to projections, contracts, social media, marketing, and investments. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 82

Unstructured Data Deep Learning Insurance Interactive 82

CIO Business Intelligence

APRIL 19, 2023

Adding automation gives data professionals an extra level of support, reducing workloads, streamlining workflows, and jumpstarting productivity. Easing the strain on data management teams can help improve data quality and keep businesses one step ahead of the market. What are your compliance needs?

Digital Transformation 82

Digital Transformation Data Governance Unstructured Data Risk 82

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 119

Analytics Data Science Statistics Unstructured Data 119

Ontotext

JANUARY 29, 2024

Addressing challenges such as data quality and ensuring unified, semantically consistent access to accurate, trustworthy data will require setting a clear data strategy as well as taking a realistic, business-driven approach. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 80

Data Lake Data Architecture Data-driven Data Warehouse 80

Ontotext

JANUARY 6, 2021

Reuse of knowledge from third party data providers and establishing data quality principles to populate it. Ontotext worked with a global research-based biopharmaceutical company to solve the problem of inefficient search across dispersed and vast sources of unstructured data.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Octopai

MARCH 22, 2023

Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data. It allows users to combine all types of structured and unstructured data for analysis and load it into a database without demanding any transformations or conversions.

Cost-Benefit 78

Cost-Benefit Data Warehouse Optimization Unstructured Data 78

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Other Technologies. Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Jedox

OCTOBER 22, 2020

Gartner defines “dark data” as the data organizations collect, process, and store during regular business activities, but doesn’t use any further. Gartner also estimates 80% of all data is “dark”, while 93% of unstructured data is “dark.”.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Hurwitz & Associates

JULY 10, 2018

Most organizations today have built and are using data management infrastructures which were often built on data warehouses used to collect and analyze data. Many have evolved to be more compatible with the influx of unstructured data fed by the web and other sources.

IoT 40

IoT Management Unstructured Data Internet of Things 40

bridgei2i

MARCH 1, 2019

Also, we cannot imagine the future, without considering the adoption challenges and the resultant data quality challenges ever-present in today’s sales organizations. For sales, the key lies in tapping the full potential of voice-based unstructured data using conversational AI.

Sales 40

Sales Unstructured Data Data Quality Enterprise 40

Octopai

JUNE 24, 2019

Document classification and lifecycle management will help you deal with oversight of unstructured data. – Data management : As part of maintaining the integrity of your data, it will be necessary to track activities. This maintains a high priority in your data governance strategy.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

CIO Business Intelligence

SEPTEMBER 2, 2022

As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

MARCH 29, 2022

An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists. New approaches are being developed to understand and use unstructured data, for instance.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Our Top Data Science Tools. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Ontotext

DECEMBER 1, 2023

According to him, “failing to ensure data quality in capturing and structuring knowledge, turns any knowledge graph into a piece of abstract art”. Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata.

Metadata 78

Metadata Sales Consulting Enterprise 78

FineReport

APRIL 26, 2023

Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. It is based on a cluster system, allowing it to efficiently process data and run it parallelly. It can process structured and unstructured data from one server to multiple computers and offers cross-platform support to users.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

O'Reilly on Data

SEPTEMBER 24, 2018

For big data, this isn't just making sure cluster processes are running. A DataOps team needs to do that and keep an eye on the data. With big data, we're often dealing with unstructured data or data coming from unreliable sources. They know how to operate the big data frameworks.

Enterprise 198

Enterprise Big Data Data Quality Unstructured Data 198

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Data Lake 99

Data Lake Unstructured Data Data Warehouse Data Quality 99

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. " I don't think so.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools. It’s common to ingest multiple data sources into Amazon Redshift to perform analytics.

Data Quality 75

Data Quality Testing Data Warehouse Unstructured Data 75

Smart Data Collective

SEPTEMBER 26, 2021

Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making. Working with massive structured and unstructured data sets can turn out to be complicated. Metadata makes the task a lot easier.

Metadata 97

Metadata Visualization Unstructured Data Data mining 97