IBM Big Data Hub

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

Data-driven 95

Data-driven Interactive Data Processing Technology 95

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

SEPTEMBER 28, 2022

The cost of acquiring and interacting with customers can be expensive and each time a business loses a customer, it must spend money to replace the customer. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

Ontotext

APRIL 6, 2023

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smarten

JUNE 8, 2022

Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments. Analyzing Customer Churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

CIO Business Intelligence

JUNE 7, 2022

Because of this, only a small percentage of your AI team will work on data science efforts, he says. The rest of the team will identify the problem being solved, help explain the data, help organize the data, integrate the output into another production system, or present the data in a presentation-ready manner.”.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

AWS Big Data

FEBRUARY 29, 2024

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. Furthermore, you may need to combine the unstructured and structured data to create a holistic picture of key entities, like customers.

Data Governance 96

Data Governance Unstructured Data Metadata Data Lake 96

Cloudera

JULY 18, 2018

For those asking big questions, in the case of healthcare, an incredible amount of insight remains hidden away in troves of clinical notes, EHR data, medical images, and omics data. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

CIO Business Intelligence

MAY 18, 2022

While resiliency has always been a focus of EA, “the focus now is on proactive resiliency” to better anticipate future risks, says Barnett. As we’re building a multiyear repository of research data, just saying `we have APIs’ is not going to be enough,” he says.

Enterprise 122

Enterprise Measurement Data-driven Software 122

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. How is it that trying to be aware of all your data is the first step to working out what data (or analytic) actually needs to be governed first? Or second and tenth? To Catalog or Not to Catalog?

Data Integration 52

Data Integration Technology Data Governance Analytics 52

Smart Data Collective

SEPTEMBER 26, 2019

As the name suggests, Big Data deals with huge data volumes mainly generated from various different sources like business processes, machines, social media platforms, human interactions, networks, etc. Role of Software Development in Big Data. Data Integration. Real-Time Data Processing and Delivery.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 70

Analytics Data Warehouse Data Lake Data-driven 70

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

erwin

MAY 14, 2021

Successfully leveraging this solution requires a significant paradigm shift in how we design NoSQL data structures and deploy the databases that manage them. But as with most technology requirements, we need to shield the business from the complexity and risk associated with this new approach.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Jet Global

JANUARY 4, 2021

Effective cooperation should now be taking place in two ways: via shared data pools and via collaborative interaction across departments and geographies. Planners began to integrate functional and departmental plans into their own forecasts. Want to learn more? Request a demo of Tidemark today. Sources: [link].

Forecasting 98

Forecasting Finance Testing Sales 98

FineReport

SEPTEMBER 5, 2021

In the manufacturing industry, small changes in data can bring indelible disasters to the company, so we need to monitor and manage these data in real time and automatically. The interactive control design can help you easily view the real-time dynamics of manufacturing through data visualization.

Manufacturing 52

Manufacturing Dashboards Optimization KPI 52

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Cloudera

DECEMBER 18, 2018

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Gateways handoff to integration hubs that offer two-way communication for device command and control as well as data integration to the third and final element: the data management and analytics platform.

IoT 43

IoT Internet of Things Machine Learning Insurance 43

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

erwin

APRIL 4, 2022

We will continue this progress in DevOps integration to reduce risk and speed collaboration between developers and DBAs. data integrity. Pushing FE scripts to a Git repository involves: Connecting erwin Data Modeler to Mart Server. Connecting erwin Data Modeler to a Git repository. version control.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

erwin

MAY 2, 2022

However, it offers two extremely valuable business benefits: reducing data redundancy and improving data integrity. In short, it helps to keep the data effective, a highly desirable feature of any database. Whitepaper: Meeting the Data-Related Challenges of Cloud Migration. Webcast: Build better data models.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

DataKitchen

SEPTEMBER 21, 2023

Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

AUGUST 7, 2023

The adoption of mutually trusted technology can assist businesses, customers, partners and government authorities in verifying the existence, authenticity and integrity of interactions among parties. Ensuring the authenticity of data is crucial in preventing potential disputes over authorship in multi-party interactions.

Data Governance 63

Data Governance Manufacturing Interactive IoT 63

AWS Big Data

MARCH 29, 2024

We also lacked a data buffer, risking potential data loss during outages. Such constraints impeded innovation and increased risks. Amazon MSK enables us to tailor the data retention duration to our specific requirements, ranging from seconds to unlimited duration.

Cost-Benefit 92

Cost-Benefit Data-driven Metrics Management 92

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.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. In other words, data can only be persisted if it is first encrypted.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97

Cloudera

AUGUST 21, 2021

Data enables better informed critical decisions, such as what new markets to expand in and how to do so. It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Compared to just two years ago, more customers are now digitally interacting with their bank. The need for speed.

Data-driven 105

Data-driven Digital Transformation Risk Risk Management 105

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Sisense

SEPTEMBER 8, 2021

Embedded patient analytics analyze medical data from many sources in one place. One of the strengths of modern medical analytics implementations is healthcare data integration — the ability to connect and draw conclusions from data derived from many streams. Better access to analyzed data improves patient outcomes.

Analytics 52

Analytics Data mining Data Integration Risk 52

erwin

FEBRUARY 19, 2021

Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Identify and interrogate metadata from various data management silos. Harvest data. Automate the collection of metadata from various data management silos and consolidate it into a single source.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

FineReport

JULY 16, 2021

In addition, data warehouse provides a data storage environment where data onto multiple data sources will be ETLed(Extracted, Transformed, Dunked) , cleaned up, and stored on a specific topic, indicating powerful data integration and maintenance capabilities of BI. Data Analysis. REPORT FILLING.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

FEBRUARY 6, 2024

Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers. No longer passive consumers of information, you become master storytellers, captivating audiences with visual masterpieces crafted from data.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. And for data models that can be directly reported, a dimensional model can be developed.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Metadata 66