Sisense

JULY 8, 2020

Luma Health , a small software company that delivers a patient engagement platform in the healthcare sector, saw customer usage patterns changing rapidly with the onset of COVID-19. Partnering with your data team can help you get the most out of early wins by building versatile data models that can be used for multiple applications.

Enterprise Innovation 107

Enterprise Innovation Innovation Data Modelling Healthcare 107

Analysts Corner

MARCH 7, 2023

Data scientists use a variety of techniques and tools to collect, analyze, and interpret data, and communicate their findings to stakeholders. Data science involves several steps, including data collection, data cleaning, data exploration, data modeling, and data visualization.

Supply Chain 130

Supply Chain Artificial Intelligence Data Visualization Logistics 130

Tableau

OCTOBER 8, 2021

With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution. We can even support deployments for many healthcare customers with unique data privacy needs helping with HIPAA compliance.

Government 138

Government Digital Transformation Retail Healthcare 138

Domo

DECEMBER 9, 2020

That’s the challenge faced by organizations that are already heavily invested in data lakes and warehouses, or are in highly regulated industries—like healthcare or finance—that require their data be kept in their infrastructure at rest for security or compliance reasons. With data federation, you can: Avoid data duplication.

Data Warehouse 98

Data Warehouse IBM cost IBM Maintenance Data Modelling 98

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Sisense

AUGUST 14, 2020

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Tableau

MARCH 2, 2021

Tableau launched the COVID-19 Data Hub on March 9, 2020 to help people answer these questions, and more. The pandemic has amplified the need for trusted data insights as businesses, governments, and healthcare organizations are faced with critical, real-time decisions that impact real lives, across the globe.

Government 98

Government Visualization Healthcare Data Visualization 98

Sisense

OCTOBER 14, 2020

These increasingly difficult questions require sophisticated data models, connected to an increasing number of data sources, in order to produce meaningful answers. Therein lies the power of your data team: Armed with know-how, they connect with the end user teams (internal users, product teams embedding insights, etc.)

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Tableau

OCTOBER 8, 2021

With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution. We can even support deployments for many healthcare customers with unique data privacy needs helping with HIPAA compliance. .

Government 98

Government Digital Transformation Retail Healthcare 98

Sisense

APRIL 16, 2019

We support embedding the full Sisense application, including the data modeling, analytics and administration areas, or embedding specific OEM dashboards and widgets using IFrames. Typically Best for: Tenants with identical data models and dashboard requirements. Option 2: Dedicated ElastiCube per tenant.

Embedded Analytics 74

Embedded Analytics Data Modelling Data Security Change Management 74

Sisense

APRIL 10, 2020

As COVID-19 continues to spread, healthcare groups and companies of all kinds are under pressure to provide care in the face of increasing demand. Healthy Data is your window into how data is helping these organizations address this crisis. Not all these data sources should be treated the same way, they each have specific needs.

Visualization 105

Visualization Data Modelling Healthcare Government 105

Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. and administrative data (insurance claims, billing details, etc.) trillion in 2020, making it 19.7

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs.

E-Commerce 98

E-Commerce Logistics Healthcare Documentation 98

The BAWorld

JANUARY 25, 2021

It primarily focuses on developing models that use algorithms to learn and detect patterns, trends, and associations from existing data. Models can apply this learning to new data. Let us have a look at the steps of machine learning followed while building a machine learning model.

Logistics 90

Logistics Data Visualization Artificial Intelligence Visualization 90

Sisense

OCTOBER 28, 2019

Gerimedica empowers healthcare providers by embedding analytics into its product. Data engineers need to be able to automate data workflows and empower business users with analytics built from one data model.

Healthcare 63

Healthcare Embedded Analytics Data Discovery Government 63

The Data Administration Newsletter

FEBRUARY 17, 2021

.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT IT Business […].

Data Management 59

Data Management Healthcare Data Quality Data Modelling 59

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Business Intelligence 102

Business Intelligence Business Intelligence Government Visualization 102

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MAY 31, 2024

It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables. Summary statistics are also calculated to provide a quantitative description of the data. Model Building: This step uses machine learning algorithms to create predictive models.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Tableau

MARCH 2, 2021

Tableau launched the COVID-19 Data Hub on March 9, 2020 to help people answer these questions, and more. The pandemic has amplified the need for trusted data insights as businesses, governments, and healthcare organizations are faced with critical, real-time decisions that impact real lives, across the globe.

Government 52

Government Visualization Healthcare Data Visualization 52

Bridging the Gap

MARCH 9, 2023

And they’ll use a variety of data modeling techniques to define how information is stored and flows through various systems. Other examples along this line could include a Healthcare Business Analyst , an SAP Business Analyst , a Service Now Business Analyst , Cybersecurity Business Analyst , and that’s just to name a few.

Skillset 98

Skillset Business Analysis Business Analysis Project Management 98

Astera

JUNE 14, 2023

These transactions typically involve inserting, updating, or deleting small amounts of data. Normalized data structure: OLTP databases have a normalized data structure. This means that they use a data model that minimizes redundancy and ensures data consistency. through a built-in OData service.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Whizlabs

APRIL 19, 2021

He has published 13 books including Reimagining Healthcare, Revealing the Invisible, The Gen Z Effect, Cloud Surfing, The Innovation Zone, Smartsourcing: Driving Innovation and Growth through Outsourcing, Corporate Instinct, Smart Companies: Smart Tools, and The X-economy. Primary domains of expertise for Arvind is Healthcare IT.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

APRIL 23, 2024

Data that meets the requirements set by the organization is considered high-quality—it serves its intended purpose and helps in informed decision-making. Such a detailed dataset is maintained by trained data quality analysts, which is important for better decision-making and patient care.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Data Pine

MARCH 25, 2022

Data modeling: Marketers or analysts can use data modeling to assess the success of marketing campaigns and find improvement opportunities. For example, by analyzing behavioral data, you can predict lead’s likelihood of moving down the funnel from awareness to purchase. Business Intelligence And Analytics Examples.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Data Pine

MARCH 31, 2022

For example, if you’re passionate about healthcare reform, you can work as a BI professional who specializes in using data and online BI tools to make hospitals run more smoothly and effectively thanks to healthcare analytics. A data scientist has a similar role as the BI analyst, however, they do different things.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

MARCH 28, 2024

Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance. On the other hand, a data dictionary typically provides technical metadata and is commonly used as a reference for data modeling and database design.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 20, 2024

NoSQL Databases: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. Unlike relational databases, they do not rely on a fixed schema, providing more flexibility in data modeling. This global presence ensures consistent and efficient data retrieval regardless of location.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Astera

JUNE 8, 2023

Flexibility: The DBMS should support various data types, allow schema modifications, and provide flexible data modeling capabilities to adapt to changing business requirements.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

Flexibility: The DBMS should support various data types, allow schema modifications, and provide flexible data modeling capabilities to adapt to changing business requirements.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

APRIL 10, 2023

The Challenge of Unstructured Insurance Data Despite being data-intensive, the insurance industry faces a significant challenge – unstructured data. This data comes in various forms, from policy documents to claim forms and regulatory filings.

Documentation 52

Documentation Customer Experience Customer Experience Data Modelling 52