CIO Business Intelligence

JANUARY 22, 2024

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. The need for generative AI data management may seem daunting.

Unstructured Data 85

Unstructured Data Digital Transformation Data Strategy Modeling 85

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. .

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 133

Unstructured Data Data Analytics Analytics Structured Data 133

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 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

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 79

Data Science Data Analytics Prescriptive Analytics Analytics 79

CIO Business Intelligence

MARCH 13, 2023

With the cloud and its unlimited compute and storage, it is easier to collect and process structured and unstructured data, query multiple data types, and unlock insights from the data,” says Palaniswamy.

Unstructured Data 52

Unstructured Data Data Strategy Data-driven Consulting 52

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 113

Slice and Dice Cost-Benefit Risk Data Governance 113

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Where data flows, ideas follow.

IT 110

IT Data Architecture Unstructured Data Big Data 110

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

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 109

Analytics Data Lake Unstructured Data Enterprise 109

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

DECEMBER 11, 2023

Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data. One example is creating an AI-based digital agent to assist with annual membership and enrollment for health plans.

Unstructured Data 73

Unstructured Data Interactive Data-driven Consulting 73

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. But this is not your grandfather’s big data.

IT 78

IT Data Architecture Unstructured Data Big Data 78

Alation

NOVEMBER 22, 2022

An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Setting data management policies, like tagging data. Data governance is the foundation for these strategies. Data breach mitigation measures.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

Laminar Security

AUGUST 21, 2023

To maintain consistent cloud data security , organizations must overcome the limitations of siloed or inadequate security controls, disjointed data classification, and fragmented integration. Convergence of these technologies will make processes more effective.

Management 40

Management Risk Unstructured Data Data Strategy 40

Sisense

JULY 23, 2021

“We are also working to factor in the COVID impact when making sense of the data and, more importantly, when communicating it.”. Chris and his team are increasing the volume of data being captured and using automation to augment their data strategy : “This is a real jump forward for us.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. It’s key to its overall business strategy. Under Guadagno, the Deerfield, Ill.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

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

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 122

Analytics Data Science Statistics Unstructured Data 122

Ontotext

MARCH 23, 2023

While the topic has gotten a lot of buzz, a data fabric is not a specific application or software package you download and solve all your data management challenges. Instead, it’s a set of principles and strategies that enable the seamless integration and management of data across multiple platforms and sources.

Management 52

Management Metadata Unstructured Data Data Integration 52

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

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. What are common data challenges for the travel industry? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Sisense

MAY 28, 2020

As enterprises demand data infrastructures that can meet this growth in real-time data — and ultimately assist with their product differentiation strategy — the pressure put on product teams is huge. Product teams are already having to manage the growing complexities that come with modern data environments.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Sisense

SEPTEMBER 15, 2020

Even when the company is required to store some of its data on-premises, a hybrid experience like AWS Outposts can allow these teams to take advantage of many of the benefits traditionally only offered by being fully in the cloud, such as low storage and compute costs and access to fast-moving data and unstructured data.

Key Performance Indicator 79

Key Performance Indicator Cost-Benefit Unstructured Data Strategy 79

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. This is the first post in a series of three on data-driven organisations.

Data-driven 82

Data-driven Data Lake Data Warehouse Cost-Benefit 82

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

JULY 6, 2021

Yonatan demonstrated that as data volumes increase (at an unprecedented rate), this approach is gaining traction in order to handle vast amounts of data, aggregate it all into a single location, and apply analytics (including machine learning) to it to derive actionable intelligence from both structured and unstructured data more effectively.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications. What are your data and AI objectives?

Data Architecture 61

Data Architecture Data Lake Machine Learning Data Governance 61

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? A cloud migration strategy should begin with the questions, “Which data is most valuable to migrate?” Data Classification Use Cases.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Sisense

NOVEMBER 12, 2020

In recent years, there has been a rise in the use of data lakes, and cloud data warehouses are positioning themselves to be paired well with these. Data lakes are essentially sets of structured and unstructured data living in flat files in some kind of data storage.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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. Reducing data waste.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. Master data management. Data governance. Structured, semi-structured, and unstructured data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54