Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. Prior to the Big Data revolution, companies were inward-looking in terms of data.

IT 52

IT Metadata Data Governance Data Warehouse 52

CIO Business Intelligence

MARCH 23, 2022

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed.

Technology 86

Technology IoT Internet of Things Data-driven 86

Cloudera

SEPTEMBER 24, 2021

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. The exam consists of 90 multiple-choice and performance-based questions administered via Pearson VUE. The credential does not expire.

Big Data 121

Big Data Data Analytics Analytics Predictive Modeling 121

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

DECEMBER 3, 2023

FreeCodeCamp reports success in augmented analytics across many industries and business functions, including Retail, Manufacturing, Healthcare, and Financial Services. Benefits for the IT Team Self-Service analytics best practices include a roll-out to business users and that requires a new perspective on data governance and on user access.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

CIO Business Intelligence

JANUARY 22, 2024

An enormous amount of data is required to power generative AI applications and—unlike static algorithmic models and earlier versions of AI—these models require real-time data from numerous business functions to unlock their full value. To learn more, visit us here.

Data Governance 52

Data Governance Enterprise Statistics Modeling 52

Sisense

SEPTEMBER 12, 2019

Also, keep in mind which types of data are missing as that may be critical in putting together the bigger picture and may prevent you from reaching the predictive analytics stage and the future of your BI strategy. . 3 Define how the data will be shared (and how it will be distributed).

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. The Rise of Regulation.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Smarten

SEPTEMBER 15, 2017

Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data. Data Governance and Self-Serve Analytics Go Hand in Hand.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

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

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 309

Enterprise Deep Learning Data Governance Risk 309

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

CIO Business Intelligence

FEBRUARY 5, 2024

Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care. Smart cities infrastructure: From traffic management to public safety, edge AI enhances efficiency by processing data locally to enable quick, informed decisions.

Optimization 115

Optimization Data Governance IoT Enterprise 115

Srividya Sridharan

MARCH 24, 2022

As the leaves start to grow again and the weather warms up, what better time than now to do some much-needed spring cleaning of your data and insights practices? In this edition of the Insights Beat, we dive into our Q1 research in data, analytics, and AI that highlights the best approach to get more […].

IT 72

IT Data Analytics Analytics Predictive Analytics 72

Alation

MAY 4, 2023

The chosen predictive analytics tools should be able to handle large datasets easily, provide a range of features such as interactive visualizations, and be compatible with existing systems. Establish clear objectives for integrating data catalogs with data visualization tools.

Visualization 52

Visualization Metadata Data Governance KPI 52

Corinium

APRIL 25, 2019

The areas of fastest AI innovation and adoption are around machine learning, using it for more and more use cases where there exists large volumes of data, and human beings just don’t have the bandwidth or can’t keep up with ongoing stream of transactions, events, or whatever other changes in the environment being described by that data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Alation

MAY 4, 2023

The chosen predictive analytics tools should be able to handle large datasets easily, provide a range of features such as interactive visualizations, and be compatible with existing systems. Establish clear objectives for integrating data catalogs with data visualization tools.

Visualization 40

Visualization Metadata Data Governance KPI 40

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

Data Strategy 81

Data Strategy Strategy Predictive Analytics Customer Analytics 81

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Amazon Redshift offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

MARCH 17, 2022

Harnessing data in motion is a crucial step in gaining command and control of data as a strategic asset – moving it from where it is generated to where it can be managed and analyzed and ultimately used to support timely, informed decision making. . The Value of Public Sector Data.

IoT 81

IoT Cost-Benefit Data-driven Data Strategy 81

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

Cloudera

DECEMBER 14, 2020

Cloudera SDX alleviates data security and governance concerns because the control policies are set once and consistently enforced across all components to provide a unified authentication process for all users and end-to-end data governance for all the data streaming through CDP. .

Big Data 69

Big Data Data-driven Data Collection Enterprise 69

CDW Research Hub

JULY 12, 2021

Data virtualization can empower business users to leverage data on their own rather than always having to rely on the technical team. It ensures secure data governance. It goes far beyond data federation. Data virtualization is a superset of the 10-year-old data federation technology.

Data Governance 52

Data Governance ROI Big Data Data-driven 52

Birst BI

FEBRUARY 13, 2018

Birst’s Networked approach to BI and analytics enables a single view of data, eliminating data silos. Decentralized teams and individual users can augment the corporate data model with their own local data, without compromising data governance.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Here are some changes on the horizon.

Big Data 77

Big Data Data Analytics Analytics Internet of Things 77

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. What types of features do AI platforms offer?

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Smarten

JANUARY 7, 2020

While traditional BI was the domain of IT and the analyst community, the modern BI environment expands the use of analytical tools throughout the organization. Modern BI supports collaboration, while providing appropriate data governance and data security.

IT 52

IT Business Intelligence ROI Reporting 52

Jim Harris

JULY 13, 2015

The New Heroes of Big Data and Analytics” ); re-read hundreds of stories appearing in the popular press (e.g., “The The Data D. A.” ), at least scanned the (many) new books on big data, data governance, and analytics (e.g.,

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Data science skills. Primary keys.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . – Public sector data sharing.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Smarten

JULY 4, 2022

The organization should establish rules of engagement and manage guidelines to dictate which roles will take on which types of analytics and when and how they will collaborate.

Predictive Analytics 52

Predictive Analytics Consulting Data Governance Management 52

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Smarten

MAY 24, 2018

The Smarten team will be on hand at the Gartner Data & Analytics Summit on June 5 and June 6 to demonstrate current product functionality including Smart Visualization, Plug n’ Play Predictive Analytics and Self-Serve Data Preparation.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

FineReport

APRIL 3, 2024

Here are the primary factors to consider when assessing these tools: Features and Functionality: The feature set of a BI tool is pivotal, including capabilities like real-time data processing, interactive dashboards, and advanced analytics.

Dashboards 52

Dashboards Visualization Metrics Interactive 52