CIO Business Intelligence

OCTOBER 13, 2022

One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. Eventually, however, it will be necessary to scale up the infrastructure as the customer base grows.

ROI 127

ROI IT Sales Consulting 127

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure.

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

FineReport

APRIL 26, 2023

Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool. These objectives should be broken down into measurable analytical goals, and the chosen tool should be able to meet those goals. Top 10 Big Data Tools 1.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JANUARY 9, 2024

Currently, no standardized process exists for overcoming data ingestion’s challenges, but the model’s accuracy depends on it. Increased variance: Variance measures consistency. Insufficient data can lead to varying answers over time, or misleading outliers, particularly impacting smaller data sets.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Azure DevOps. AWS Code Deploy.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is not narrowly “selling data sets ;” it is about improving work and enhancing business performance by better-using data. External monetization opportunities enable different types of data in different formats to be information assets that can be sold or have their value recorded when used.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

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. Edge caches become crucial for managing data on its way from web servers to mobile devices. Data is on the move. Those days are long gone if they ever existed. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

FEBRUARY 21, 2024

Amazon MSK serves as a highly scalable, and fully managed service for Apache Kafka, allowing for seamless collection and processing of vast streams of data. Integrating streaming data into Amazon Redshift brings immense value by enabling organizations to harness the potential of real-time analytics and data-driven decision-making.

Analytics 107

Analytics Management Data-driven Data Integration 107

Cloudera

SEPTEMBER 27, 2023

release , the journey towards a more secure data ecosystem continues — one where businesses can unlock the full potential of their data with peace of mind. Cloudera on private cloud integrates a unified security platform that orchestrates the full spectrum of security measures. With the latest 7.1.9

Data Processing 87

Data Processing Management Measurement Enterprise 87

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

DECEMBER 11, 2023

With the advent of enterprise-level cloud computing, organizations could embark on cloud migration journeys and outsource IT storage space and processing power needs to public clouds hosted by third-party cloud service providers like Amazon Web Services (AWS), IBM Cloud, Google Cloud and Microsoft Azure.

Cost-Benefit 101

Cost-Benefit Data Processing Strategy Software 101

Cloudera

SEPTEMBER 7, 2023

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Even more training and upskilling.

Insurance 83

Insurance Risk Data-driven Finance 83

Alation

OCTOBER 28, 2021

Today, lawmakers impose larger and larger fines on the organizations handling this data that don’t properly protect it. More and more companies are handling such data. No matter where a healthcare organization is located or the services it provides, it will likely host data pursuant to a number of regulatory laws.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 103

Management Metrics Cost-Benefit Data Lake 103

IBM Big Data Hub

OCTOBER 20, 2023

Will it be implemented on-premises or hosted using a cloud platform? These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager 6.2

Metadata 86

Metadata Data Lake Strategy Optimization 86

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

MAY 17, 2021

If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include. Besides connecting the data, the discovery tool you choose should also support working with big amounts of data. 2) Identify your pain points.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

CIO Business Intelligence

APRIL 12, 2022

Data integrity specialist Precisely kicked off 2022 by buying PlaceIQ, a provider of location-based consumer data. StreamWeaver will bring plug-and-play integrations for more streaming enterprise data to BMC’s Helix AIops platform. Precisely buys PlaceIQ. Qualtrics closes acquisition of Clarabridge for $1.1

Technology 142

Technology Enterprise Consulting Software 142

Jet Global

AUGUST 24, 2023

This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation. Data Security Concerns: Managing data security and compliance across hybrid environments can be a significant concern.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

SEPTEMBER 15, 2023

On-prem ERPs are hosted and maintained by your IT department and typically can only be accessed via an in-office network connection or VPN remote connection. SaaS is the cloud equivalent; you get the same ERP software, but it is hosted by SaaS providers on cloud servers and can be accessed from anywhere via web browser.

Finance 52

Finance Reporting Cost-Benefit Software 52

Jet Global

OCTOBER 26, 2023

Low data quality causes not only costly errors and compliance issues, it also reduces stakeholder confidence in the reported information. Both JDE and EBS are highly complex and may involve multiple modules that store data in different formats. None of which is good for your team.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. That means it should be connected to your data sources, integrated with your security, and be embedded into your app. How to measure the value. Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52