AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

Ms SQL Girl

JUNE 10, 2015

Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Ms SQL Girl

JUNE 10, 2015

Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Jet Global

MARCH 4, 2024

Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.

ROI 52

ROI Data Processing Reporting Software 52

Jet Global

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Plan how you will deliver and iterate these within your application. These must be flexible enough to meet the changing demands of users.

Analytics 52

Analytics Software Business Intelligence Reporting 52

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Second, these should be flexible enough to meet the changing demands of users.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52