BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. In order to protect the enterprise, and its interests, the IT team must: Ensure compliance with government and industry regulation and internal data governance policies.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. Apart from this I like traveling, participating in Business Intelligence forums, reading and social networking.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. Apart from this I like traveling, participating in Business Intelligence forums, reading and social networking.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

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. These regulations have a monumental impact on data processing and handling , consumer profiling and data security.

Cloud Computing 279

Cloud Computing Big Data IBM Support Real-time Data 279

ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths. Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. Today’s business intelligence market offers many options! But, never every business intelligence solution can help your self-serve initiative succeed.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! But, never every business intelligence solution can help your self-serve initiative succeed.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! But, never every business intelligence solution can help your self-serve initiative succeed.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

JANUARY 7, 2020

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

JANUARY 7, 2020

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

JANUARY 7, 2020

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Data Hub A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Created and maintained by IT staff and data engineers.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Created and maintained by IT staff and data engineers.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Business Analysis Knowledge Share

OCTOBER 27, 2023

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

The BAWorld

FEBRUARY 18, 2025

Power BI has become a go-to tool in the business intelligence (BI) and data analytics field, allowing companies to convert raw data into actionable reports and dashboards. Mid-Level Positions (4-8 years experience) Senior Power BI Data Analyst: Directs data visualization projects, enhancing report usability and design.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

ElegantJ BI

JANUARY 11, 2018

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display.

Data Governance 130

Data Governance Data Security Government Agile 130

Dataversity

AUGUST 16, 2023

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

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

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Integrate.io

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

The Data Administration Newsletter

FEBRUARY 28, 2023

Data breaches, in case you hadn’t noticed, are all the rage. In today’s world, when smart telephones are all the rage, it’s no surprise that smart technology is being adopted by business as well.

Data Security 59

Data Security Data Governance Big Data Government 59

Astera

MAY 20, 2024

Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. Data provenance covers the origin and history of data, including its creation and modifications. Why is Data Lineage Important?

Data Governance 52

Data Governance Healthcare Government Data Quality 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

Domo

JULY 23, 2024

It aligns data services and streams within your organization, simplifying data management on a massive scale. A data fabric enables CIOs and data practitioners to unify their business intelligence (BI) architecture without moving data out of the cloud.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 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

Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Quality Government 52

The Data Administration Newsletter

SEPTEMBER 5, 2023

A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI.

Data Security 52

Data Security Data Governance Big Data Cybersecurity 52

Astera

NOVEMBER 13, 2023

What is an Enterprise Data Warehouse (EDW)? An Enterprise Data Warehouse is a centralized repository that consolidates data from various sources within an organization for business intelligence, reporting, and analysis.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 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

Astera

JULY 13, 2023

Data warehouses are designed to support complex queries and provide a historical data perspective, making them ideal for consolidated data analysis. They are used when organizations need a consolidated and structured view of data for business intelligence, reporting, and advanced analytics.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

MAY 13, 2024

Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability. Documenting the sensitivity analysis process to gain insights into the aggregated data’s reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

AUGUST 8, 2023

Talend Trust Score: The built-in Talend Trust Score provides an immediate and precise assessment of data confidence, guiding users in secure data sharing and pinpointing datasets that require additional cleansing.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 28, 2023

Promoting Data Governance: Data pipelines ensure that data is handled in a way that complies with internal policies and external regulations. For example, in insurance, data pipelines manage sensitive policyholder data during claim processing.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

AUGUST 5, 2024

Through these steps, business analytics helps organizations leverage data effectively, empowering stakeholders to make informed decisions and achieve sustainable growth. Data Quality and Integration Ensuring data accuracy, consistency, and integration from diverse sources is a primary challenge when analyzing business data.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

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

While traditional databases excel at storing and managing operational data for day-to-day transactions, data warehouses focus on historical and aggregated data from various sources within an organization. Today, cloud computing, artificial intelligence (AI), and machine learning (ML) are pushing the boundaries of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52