Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

The Data Administration Newsletter

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

Artificial Intelligence 98

Artificial Intelligence Data Security Data Management Data Architecture 98

Sisense

JANUARY 6, 2021

Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Here are some of your options: Model: Blend big data from a variety of sources into Sisense machine learning algorithms.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Forrester - Business Intelligence

FEBRUARY 5, 2024

Organizations are constantly seeking ways to gain a competitive edge by transforming data into actionable insights through analytics. However, achieving analytical success goes beyond just collecting large volumes of data and building dashboards.

Data Governance 60

Data Governance Government Information Technology Information Technology 60

Sisense

APRIL 26, 2020

Security: Cloud data warehouses include data security coverage, end-to-end data encryption, and built-in protection against data loss. Availability: Cloud data warehouses are built for high availability. There’s zero initial cost for hardware, server room, IT staff, and maintenance.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Data Warehouse 173

Data Warehouse Data Visualization Data Security Data Governance 173

Smart Data Collective

OCTOBER 22, 2020

Businesses in 2021 need to take a more data-driven approach than ever before. This entails utilizing big data for marketing, optimizing finances and addressing countless other purposes. However, big data has also created some concerns for many businesses. Their internal data could be exposed.

Cybersecurity 258

Cybersecurity Big Data Finance Government 258

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Insight Software

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. According to Forbes , almost three-quarters of entrepreneurs are already using big data to try and pull ahead of the competition.

Embedded Analytics 52

Embedded Analytics Documentation Predictive Analytics Big Data 52

Astera

JULY 3, 2024

An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications. It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

NOVEMBER 28, 2023

ELT (Extract, Load, Transform): In this approach, you extract data from the source, load it into the destination, and then transform it within the destination server. This eliminates the need to load data on a staging server, making it preferable for handling larger volumes of data in a big data environment.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JANUARY 17, 2024

Data movement is the process of transferring data from one place to another. This process is typically initiated when there are system upgrades, consolidations, or when there is a need to synchronize data across different platforms for business intelligence or other operational purposes.

Real-time Data 52

Real-time Data Data Warehouse Data Management Data Security 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Sisense

MARCH 13, 2019

Ideally, it should be easy to install, integrate, and implement, and provide you with the control to assign and administer different levels of access, in the interests of data security. So, you need to ask: Is your platform compatible with my existing systems, configuration, security, and access frameworks?

Embedded Analytics 69

Embedded Analytics Business Intelligence Business Intelligence Customer Experience 69

Astera

MAY 25, 2023

This flexibility is particularly beneficial for applications that require intricate data relationships and structures. Additionally, PostgreSQL places a strong emphasis on data security, providing fine-grained user access control and built-in encryption for secure data transfer. What is MySQL?

E-Commerce 52

E-Commerce Data Security Data Modelling Big Data 52

Astera

SEPTEMBER 20, 2024

Neo4j). NoSQL databases are highly scalable and can handle high transaction rates, making them suitable for applications with varying data types, such as social media platforms, big data analytics, and real-time web applications. Ensure the provider has robust security protocols and certifications. GDPR, HIPAA).

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

NOVEMBER 1, 2023

Data warehouses offer numerous advantages for organizations that need to manage and analyze large volumes of data. Here are some of the key advantages of using a data warehouse: Business intelligence and analytics: Data warehouses consolidate diverse data sources and enable in-depth analysis, reporting, and decision-making.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

JUNE 3, 2024

These databases are ideal for big data applications, real-time web applications, and distributed systems. Hierarchical databases The hierarchical database model organizes data in a tree-like structure with parent-child relationships. Some common use cases include social network management and content management.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Data Pine

AUGUST 26, 2020

Corporate dashboard software uses easy-to-understand visual KPIs that will allow you to spot trends, identify potential weaknesses, and develop strategies that will improve your performance in all key areas of the business. 4) Permissions and security become non-issues. The Future Of Data Presentation. ” – Geoffrey Moore.

Visualization 67

Visualization Supply Chain Data Visualization Digital 67

Domo

NOVEMBER 16, 2016

Workbench – Domo’s powerful client-side tool for easily accessing and uploading high-volumes of on-premise data securely into Domo will now be included in the free version of Domo. Analyzer will be available in limited beta release at the end of this month with general availability planned for early 2017.

Data Discovery 52

Data Discovery Visualization Innovation Data Security 52

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52