Smart Data Collective

SEPTEMBER 16, 2022

KYC (“know your customer”), designed to verify the data of individuals, is especially relevant in the areas of lending and foreign exchange trading. AML (anti-money laundering) is a sought-after fintech tool designed to combat money laundering and the financing of banned organizations. Decentralized finance. Unstructured data.

Unstructured Data 130

Unstructured Data Finance Cost-Benefit Big Data 130

CIO Business Intelligence

MARCH 21, 2022

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate. How to do it? click to enlarge**. Return on Equity.

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

AUGUST 30, 2022

But although their role has evolved, the technology which helps them is still playing catch-up, with the lack of reliable analytics and data one of the biggest hurdles to progress. A changing role and the need for data. The finance function has traditionally been known for its stability and process-based culture.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

CIO Business Intelligence

OCTOBER 2, 2024

Collect, filter, and categorize data The first is a series of processes — collecting, filtering, and categorizing data — that may take several months for KM or RAG models. Structured data is relatively easy, but the unstructured data, while much more difficult to categorize, is the most valuable.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Smart Data Collective

FEBRUARY 3, 2021

Progress made in computing and analytics has enabled financial experts to analyze data that was impossible to analyze a decade ago. Ten years ago, computers used to focus on analyzing structured data alone. Such data could be easily organized, quantified, or laid out in a certain way.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. Indeed, since June 2023, the finance sector has experienced continuous growth in these areas.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

IBM Big Data Hub

APRIL 26, 2023

They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management.

Business Analytics 76

Business Analytics Reporting Analytics Finance 76

O'Reilly on Data

DECEMBER 19, 2018

If you suddenly see unexpected patterns in your social data, that may mean adversaries are attempting to poison your data sources. Anomaly detection may have originated in finance, but it is becoming a part of every data scientist’s toolkit.

Machine Learning 279

Machine Learning Software Metadata Testing 279

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 105

Data Lake Finance Sales Management 105

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. This results in enhancements in finance reporting or compliance.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data Entities. ADLS will likely require broader investments, including Azure Synapse and Microsoft’s data warehouse components. Download Now. Key Takeaways.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

NOVEMBER 5, 2020

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). Unstructured data could include things like social media posts, online reviews, and comments recorded by a customer service rep, for example.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

AUGUST 2, 2023

The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis. A Lambda function connects to an API Gateway REST API, processing and structuring the received payloads.

Visualization 98

Visualization Insurance Cost-Benefit Data Science 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This application is contextualized to finance in India.

Management 80

Management Metrics Data Processing Machine Learning 80

Jet Global

OCTOBER 30, 2020

If your company is currently using Microsoft Dynamics AX , you may be considering a migration to Microsoft Dynamics 365 Finance and Operations (D365 F&SCM) at some point in the near future. For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

APRIL 2, 2024

The recommendations don’t use any data that resides in the tables unless explicitly provided by the user as content in the metadata. Balasubramaniam Srinivasan is an Applied Scientist at Amazon AWS, working on foundational models for structured data and natural sciences.

Metadata 110

Metadata Metrics Data-driven Contextual Data 110

IBM Big Data Hub

NOVEMBER 30, 2022

They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well. Finance reporting isn’t much use when it’s slow and inaccurate. The first tool Jabil integrated was Cognos Controller and TM1 as part of an overall finance transformation.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

CIO Business Intelligence

APRIL 4, 2024

Currently it takes months and thousands of man-hours for all its finance and sales teams to review historical information, combine it with new sales forecasting data, and create projections. In some data migration activity we’ve observed a 40% increase in various steps along the way and an increase in speed.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

IBM Big Data Hub

JULY 26, 2023

This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples. Compute optimization: Data centers consume a huge amount of electricity.By As well as wasted materials, additional energy is consumed when parts have to be reworked or remade.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF. Think of all the databases an organization is operating with.

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. About the Authors Alex Naumov is a Principal Data Architect at smava GmbH, and leads the transformation projects at the Data department.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Ontotext

JULY 20, 2023

Our state-of-the-art Conversational AI platform serves customers across various domains such as tourism, finance, retail, energy, manufacturing, etc. For those unstructured information sources, we will use Large Language Models in the future to extract the information according to the ontology and structured data to the knowledge graph.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

IBM Big Data Hub

JANUARY 10, 2024

This lack of transparency can be problematic in industries that prioritize process and decision-making explainability (like healthcare and finance). Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Smarten

MAY 17, 2017

What is the difference between viewing structured data and compiling and analyzing unstructured data? How do they analyze and make decisions and what additional information will they need to select a recommendation or an option?

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

IBM Big Data Hub

NOVEMBER 3, 2023

Unlike magnetic storage (such as HDDs and floppy drives) that store data using magnets, solid-state storage drives use NAND chips, a non-volatile storage technology that doesn’t require a power source to maintain its data. What is NVMe?

Cost-Benefit 72

Cost-Benefit Internet of Things Enterprise Technology 72

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF. Think of all the databases an organization is operating with.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

Peter James Thomas

AUGUST 29, 2018

However, in reality, the CDO role encompasses Enterprise Data Management, although generally speaking the EDM role includes responsibility for the day to day operations of the collection processes, which in my current role I don’t have.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Alation

OCTOBER 28, 2021

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

FineReport

APRIL 11, 2023

Free Download of FineReport Benefits and limitations of Business Intelligence Dashboard (BI Dashboard) BI dashboards have become essential tools for enterprises to extract valuable insights from their expanding data repositories, which often encompass structured, unstructured, and semi-structured data.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Domino Data Lab

MARCH 3, 2019

Business vertical was another important priority for differentiating trends in ML practices: finance services, healthcare and lifesciences, telecom, retail, government, education, manufacturing, etc. There are essentially four types encountered: image/video, audio, text, and structured data.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

MARCH 2, 2021

Unfortunately, though, for finance teams, it still falls short of the mark in several respects. That serves an important purpose, but it fails to address the fundamental tasks that most finance teams must complete on a regular basis. That’s because modern BI tools were not designed to work with the unique challenges of finance data.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98