DataKitchen
DECEMBER 20, 2020
Data-driven companies sense change through data analytics. Analytics tell the story of markets and customers. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. They will have greater success in disrupting markets and establishing a sustained competitive advantage.
Peter James Thomas
OCTOBER 30, 2018
Note: Not all of the organisations I have worked with or for have had a C-level Executive accountable primarily for Marketing. Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. The same goes in general for Marketing Managers.
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AWS Big Data
DECEMBER 21, 2023
smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.
FineReport
MARCH 31, 2024
In today’s dynamic business landscape, Business Intelligence (BI) tools are indispensable software applications crafted to extract, transform, and present data, facilitating strategic decision-making. Best BI Tools for Data Analysts 3.1 Key Features: Extensive library of pre-built connectors for diverse data sources.
erwin
SEPTEMBER 17, 2020
Speed and faster time to market is a driving force behind most organizations’ efforts with data lineage automation. More work can be done when you are not waiting on someone to manually process data or forms. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.
AWS Big Data
NOVEMBER 9, 2023
In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.
Sisense
AUGUST 28, 2020
For starters, unavailability: When data is unavailable, the business is operating without visibility into a specific aspect of its behavior or history. You may have sales data or marketing data or financials, but without the right level of data integrity and availability, you can’t actually use it to make effective decisions.
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