Astera

MAY 30, 2024

One MIT Sloan Review research revealed extensive data analytics helps organizations provide individualized recommendations, fostering loyal customer relationships. What Is Big Data Analytics? Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Smart Data Collective

JUNE 16, 2022

A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. The consolidated totals are saved in a data model in the HOLAP technique, while the particular data is maintained in a relational database. The Benefits of OLAP.

Data Warehouse 325

Data Warehouse Data Modelling Monitoring Business Intelligence 325

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Smart Data Collective

APRIL 5, 2022

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

IBM Maintenance 307

IBM Maintenance IBM cost IBM Support Artificial Intelligence 307

Smart Data Collective

MAY 29, 2023

Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies. Continuous monitoring, assessment, and feedback are required to detect and address issues as they occur.

Artificial Intelligence 172

Artificial Intelligence Documentation Data Modelling Monitoring 172

Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Sisense

JUNE 26, 2019

It was a big investment that is still viable, and one that forms the legacy databases of many companies today. . Fast forward to Big Data. Now we can throw in the four 4 V’s of Big Data (Variety, Volume, Velocity, and Veracity) and compound the data issues of the enterprise with an even bigger data issue.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

GAVS Technology

JANUARY 7, 2021

While the importance of HIE is clearly visible, now the important question is how hospitals can collaborate to form an HIE and how the HIE will consolidate data from disparate patient information sources. This brings us to the important discussion of HIE data models. HIE Data Models. The two models are.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

Sisense

JANUARY 14, 2021

However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

FEBRUARY 16, 2024

You can also schedule, monitor, and manage your data pipelines from a centralized dashboard, ensuring that Finance 360 pipelines are always up-to-date and reliable. You can access and ingest data from any source and system, regardless of the data’s location, format, or structure.

Finance 52

Finance Banking Data Quality Artificial Intelligence 52

Astera

AUGUST 22, 2023

This new addition allows you to evaluate and compare models, fine-tune parameters, and ensure accuracy and relevance—all within a unified environment. Astera Data Analytics offers built-in performance monitoring, reporting, and experimentation capabilities, providing transparency and rapid prototyping.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Is all that work paying off?

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Sisense

MAY 27, 2019

Often with a background in advanced mathematics and/or statistical analysis, data scientists conduct high-level market and business research to help identify trends and opportunities, and then, to summarize, these findings are presented by the business analyst to the business and stakeholders in a manner that aids decision-making.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Astera

OCTOBER 27, 2023

Cost Management While cloud data warehouses offer unparalleled flexibility and on-demand resources, the pay-as-you-go model can lead to unexpected costs if not carefully monitored. The challenge lies in optimizing resource utilization to match variable workloads and data processing demands. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 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? Monitor models and measure the business results.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Insight Software

MAY 1, 2023

Salesforce monitors the activity of a prospect through the sales funnel, from opportunity to lead to customer. The functionality allows them to zero in on the pipeline data that is associated with the account record of interest. Their devices monitor a user’s activity and transmit data to the cloud.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52