CIO Business Intelligence

SEPTEMBER 20, 2023

One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. So much of that is hidden away in the chat history, not all the rows and columns of structured data.

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Why You Need a Data Catalog – Three Business Benefits of Data Catalogs. Ensures regulatory compliance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Smart Data Collective

SEPTEMBER 26, 2019

For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

Octopai

MARCH 22, 2023

This makes it an ideal platform for organizations that handle sensitive data. Cost: Snowflake’s pricing model is based on usage, which means you only pay for what you use. This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment.

Cost-Benefit 103

Cost-Benefit Data Warehouse Unstructured Data Optimization 103

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

CIO Business Intelligence

MARCH 6, 2023

When you store and deliver data at Shutterstock’s scale, the flexibility and elasticity of the cloud is a huge win, freeing you from the burden of costly, high-maintenance data centers. Then coupling with AWS’ strong authentication mechanisms, we can say with certainty that we have security and restrictions around who can access data.”

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

Sisense

JUNE 30, 2020

Using predictive analytics, organizations can plan for forthcoming scenarios, anticipate new trends, and prepare for them most efficiently and cost-effectively. Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. A Client Example.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

JANUARY 10, 2024

Today’s AI technology has a range of use cases across various industries; businesses use AI to minimize human error, reduce high costs of operations, provide real-time data insights and improve the customer experience, among many other applications. Traditionally coded programs also struggle with independent iteration.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. It has been suggested that their Falcon 9 rocket has lowered the cost per kilo to $2,720. A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

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 platform enables simpler and faster graph navigation.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

AWS Big Data

JUNE 26, 2024

Administrators can customize Amazon DataZone to use existing AWS resources, enabling Amazon DataZone portal users to have federated access to those AWS services to catalog, share, and subscribe to data, thereby establishing data governance across the platform.

Data Lake 102

Data Lake Data Warehouse Unstructured Data Data Governance 102

Ontotext

NOVEMBER 2, 2023

Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today. Solution to the Data Dilemma The good news is that the solution to this data dilemma is actually quite simple.

IT 69

IT Cost-Benefit Data-driven Technology 69

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 25, 2024

This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. For building such a data store, an unstructured data store would be best. This is typically unstructured data and is updated in a non-incremental fashion.

Data Lake 104

Data Lake Unstructured Data Management Snapshot 104

Wayne Yaddow

MARCH 14, 2025

Organizations with several coupled upstream and downstream systems can significantly benefit from dbt Cores robust dependency management via its Directed Acyclic Graph (DAG) structure. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation. Let’s look at each main component in more detail.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. There are millions of advanced spreadsheet users, and they spend more than a quarter of their time repeating the same or similar steps every time a spreadsheet or data source is updated or refreshed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? positive, negative or neutral).

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Smart Data Collective

MARCH 16, 2020

The effort is laudable and realistic, but he needs to come up with a solution to contain costs. Deep learning is likely to play an essential role in keeping costs in check. Bernie Sanders needs to talk more about ways that he can control costs before passing Medicare for All. This will be essential for all countries.

Deep Learning 94

Deep Learning Unstructured Data Cost-Benefit Big Data 94

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 1, 2024

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

CIO Business Intelligence

JANUARY 7, 2025

However, understanding the differences between RPA and agentic AI and how they complement each other can unlock major benefits through automation. It operates through predefined workflows, handling structured data in tasks such as data entry, invoice processing, and report generation.

Unstructured Data 105

Unstructured Data Interactive Consulting Optimization 105

CIO Business Intelligence

MARCH 11, 2025

If a cost/benefit analysis shows that agentic AI will provide whats missing in current processes, and deliver a return on investment (ROI), then a company should move ahead with the necessary resources, including money, people, and time. The agent acts as a bridge across teams to ensure smoother workflows and decision-making, she says.

Consulting 127

Consulting Cost-Benefit Interactive ROI 127

BI-Survey

FEBRUARY 13, 2025

They can move their BW system (unless they used too much ABAP) into BDC (and therefore cloud) and benefit from extended maintenance till 2030. The predefined content (data products) is expected by many SAP customers to help them build a data foundation for different analytical use cases more quickly. on-premises data sources).

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52