CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Octopai

JULY 18, 2019

Add to that the fact that the service providers are typically scrutinized at a highly detailed level by government regulators—so much so that in some countries, the government is the sole service provider. Healthcare and Data Governance. All of the challenges described above, among others, are data problems.

Metadata 48

Metadata Management Data Governance Insurance 48

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

datapine

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. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 85

Data Lake Data Architecture Data-driven Data Warehouse 85