Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning. Data unification and integration.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Data Virtualization

MARCH 15, 2024

Reading Time: 2 minutes In the dynamic arena of banking, hyper-personalization emerges as a beacon of innovation, reshaping customer interactions in profound ways.

Interactive 64

Interactive Data Integration Management Predictive Analytics 64

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. DataKitchen can interact with Matillion JSON files to make them, in effect, parameterized. Stronger Together.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

IBM Big Data Hub

MAY 9, 2022

These use cases provide a foundation that delivers a rich and intuitive data shopping experience. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration. million each year [1] and $1.2

Management 56

Management Data Quality Metadata Data Integration 56

FineReport

APRIL 9, 2024

One of the key aspects of the role of BI platforms is their ability to streamline the process of data analysis and decision-making. They offer functionalities that allow for the integration and transformation of raw data into meaningful and actionable insights.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

JUNE 13, 2022

Juniper Research predicts that chatbots will account for 79% of successful mobile banking interactions in 2023. The chatbots used by financial services institutions are conversational interfaces that allow human beings to interact with computers by speaking or typing a normal human language. How is conversational AI different?

Data Processing 84

Data Processing Deep Learning Insurance Cost-Benefit 84

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Enterprise 78

Sisense

JANUARY 14, 2021

While it’s not possible to programmatically interact with the dashboards or charts directly, we knew that all queries that are used as part of charts are stored in Sisense’s version control,” BI Developer Ivan Yeromenko explains. We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Andrew White

NOVEMBER 14, 2022

The uCatalog is a cute term coined by one attendee at the Sydney event that summarizes the position of many similar interactions. She was convinced that, “if you do data integration properly, and involve business and use outcomes to drive the work, I do what a data hub strategy is supposed to deliver, so I don’t get it!”.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

FineReport

APRIL 26, 2023

Here are the key features of RapidMiner: Offers a variety of data management approaches. Offers interactive and shared dashboards. Enables Predictive Analytics on data. Here are the key features of Tableau: Offers great flexibility in creating various visualizations as desired and superb data blending.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Candidates should be experienced full-stack developers for Salesforce B2C Commerce Digital.

Consulting 59

Consulting B2B Cost-Benefit Sales 59

DataKitchen

MAY 10, 2021

Make sure the data and the artifacts that you create from data are correct before your customer sees them. It’s not about data quality . In governance, people sometimes perform manual data quality assessments. It’s not only about the data. Data Quality. Location Balance Tests.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

erwin

FEBRUARY 19, 2021

It involves establishing policies and processes to ensure information can be integrated, accessed, shared, linked, analyzed and maintained across an organization. Better data quality. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Smarten

APRIL 19, 2024

The value of an AI-focused analytics solution can only be fully realized when a business has ensured data quality and integration of data sources, so it will be important for businesses to choose an analytics solution and service provider that can help them achieve these goals.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. This helps in preventing errors and maintaining data quality.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

AWS Big Data

FEBRUARY 1, 2023

AWS Glue for ETL To meet customer demand while supporting the scale of new businesses’ data sources, it was critical for us to have a high degree of agility, scalability, and responsiveness in querying various data sources. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

FineReport

JULY 18, 2022

Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. It is also professional in data visualization with multiple pre-defined dashboards templates and various types of charts, such as dynamic charts and maps.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

DataRobot Blog

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.

Analytics 40

Analytics IoT Internet of Things B2B 40

AWS Big Data

JUNE 12, 2023

Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data. AWS Glue is an ideal solution for running stream consumer applications, discovering, extracting, transforming, loading, and integrating data from multiple sources.

Management 79

Management Metadata Testing Internet of Things 79

CIO Business Intelligence

MAY 30, 2024

You’re driving productivity, efficiency, and how you’re interacting so you can spend your time with the customer on things that are more important and that only you can do. Talk to us about how leaders should be thinking about the role of data quality in terms of their AI deployments.

Data Quality 81

Data Quality Key Performance Indicator Digital Transformation Management 81

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

erwin

AUGUST 31, 2023

Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

APRIL 25, 2023

Looking for a tool that would enable us to democratize our data, we chose Amazon QuickSight , a cloud-native, serverless business intelligence (BI) service that powers interactive dashboards that lets us make better data-driven decisions, as a corporate solution for data visualization.

Visualization 52

Visualization IT Data-driven Reporting 52

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

datapine

MAY 17, 2021

This methodology is an approach to data that supports business success and ensures that everyone within an organization is empowered to make the most of the information in front of them by understanding data in a seamless, interactive way. So, what is data discovery? What is a data discovery platform?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

CIO Business Intelligence

JUNE 5, 2024

That principle makes Booth excited about the possibilities inherent in gen AI, as most of the Ranger’s potential data consumers aren’t technical users. Gen AI will make it possible for those non-technical users to interact with the team’s trove of data and gain the insights they need to maximize performance.

Optimization 87

Optimization Predictive Modeling Data-driven Modeling 87

Alation

JANUARY 27, 2022

Creating a single view of any data, however, requires the integration of data from disparate sources. Data integration is valuable for businesses of all sizes due to the many benefits of analyzing data from different sources. But data integration is not trivial. Establishes Trust in Data.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52