Sisense

AUGUST 21, 2020

In a similar way, the forthcoming “Explanations” feature provides users with possible drivers of the movements in the data automatically, using knowledge graphs to go beyond the boundaries of their charts. How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis?

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

Sisense

SEPTEMBER 3, 2020

This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. See an example: Explore Dashboard.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Actian

JULY 11, 2019

There is unlikely to be standardization of the data individual operational technology devices generate, but there will be new capabilities for interoperability, data aggregation and unified analysis. Before examining the standardization issue, it is important to understand the definition of “operational technology.”

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Data Pine

MARCH 25, 2022

BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. It seems clear that there isn’t one standard “correct” definition of the differences between the two terms. Definition: description vs prediction. Let’s see a conceptual definition of the two.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

JUNE 12, 2024

Data Provenance vs. Data Governance Data lineage, data provenance , and data governance are all crucial concepts in data management, but they address different aspects of handling data. Enhance data trustworthiness, transparency, and reproducibility.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MARCH 28, 2024

Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. Both data catalog and data dictionary serve essential roles in data management. Are the benefits just limited to data analysts? How Does a Data Catalog Work?

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Interpreting data. Data science is the sexiest job of the 21st century.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. Concurrency problems and incomplete transactions lead to data corruption.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

AUGUST 30, 2024

Data Migrations Made Efficient with ADP Accelerator Astera Data Pipeline Accelerator increases efficiency by 90%. Try our automated, data model-driven solution for fast, seamless, and effortless data migrations. Automate your migration journey with our holistic, data model-driven solution.

Data Governance 52

Data Governance Government Data Quality Documentation 52

Astera

JULY 8, 2024

REST API tools equip developers with a suite of functionalities to manage the entire REST API lifecycle. These tools typically offer features for: Designing and building APIs: Define API endpoints, data models, request/response structures, and authentication mechanisms. It supports automation for API testing workflows.

Documentation 52

Documentation Monitoring Visualization Government 52

Whizlabs

APRIL 19, 2021

Her book Fast-Track Your Leadership Career: A Definitive Template for Advancing Your career! Women Taking Charge) is a best-selling book on Amazon and definitely a must read! Rajashree Rao – Head of AI Innovation Hub, Partnerships & Ecosystem (APAC) at R² Data Labs at Rolls-Royce, Global Thought Leader, Keynote speaker.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

OCTOBER 27, 2023

The benefits of a cloud data warehouse extend to breaking data silos , consolidating the data available in different applications, and identifying opportunities that would otherwise go unnoticed with a traditional on-premises data warehouse. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements. Data Team: Certainly, but let’s not forget governance too.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Analysts Corner

JANUARY 6, 2025

Good analysis doesnt rely on convictions but rather on definition of various scenarios of thefuture. flexible grippers and tactile arrays that can improve handling of varied objects); substantial investments in data management and governance; the development of new types of hardware (e.g., Leverage industry standards (e.g.

Government 130

Government Digital Artificial Intelligence Healthcare 130

Insight Software

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It is now most definitely a need-to-have. Strategic Objective Enjoy the ultimate flexibility in data sourcing through APIs or plug-ins.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

SEPTEMBER 1, 2023

The Definitive Guide to Predictive Analytics Download Now What are the Risks for Application Teams? Higher Costs: In-house development incurs costs not only in terms of hiring or training data science experts but also in ongoing maintenance, updates, and potential debugging.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Insight Software

SEPTEMBER 26, 2023

Those easy years with cheap funding and market tailwinds are definitely behind us. These Solutions Solve Today’s (and Tomorrow’s) Challenges Your team needs to move faster and smarter real-time, accurate, functional views of transactional data enabling rapid decision-making. That said, we also are quite opportunistic.

IBM Support 52

IBM Support Finance IBM cost Supply Chain 52