Spreadym

MARCH 15, 2023

Corporate data processing refers to the use of technology to collect, store, manipulate, and analyze large amounts of business data in a corporate setting. Data Processing: After data is stored, it needs to be processed to derive insights and inform business decisions. Read about how it is made in Spreadym.

Technology 52

Technology SAP Budgeting Data Analysis 52

Bramasol

SEPTEMBER 10, 2023

Natural Language Processing (NLP) : NLP technologies analyze customer feedback, reviews, and social media comments to gain insights into customer sentiments and preferences, enabling companies to make data-driven improvements, gauge customer satisfaction, and identify areas for improvement.

SAP 89

SAP B2C B2B Microsoft Office 89

Future CFO

DECEMBER 17, 2023

SAP Concur has revealed key 2024 predictions for finance by its executives. For the upcoming year, AI is the connecting thread among SAP Concur executives’ predictions, the firm said, adding that AI is changing how all business is conducted, and travel, expense, and invoice (TEI) management is no exception.

SAP 52

SAP Finance Budgeting Data Analysis 52

Bramasol

NOVEMBER 27, 2021

Addressing these complex issues often also requires integrating internally-generated data, such as incorporating AI data analysis and predictive analytics feeds. Fortunately, many of these DSE data challenges can be addressed using a range of interrelated applications and technologies within the SAP ecosystem.

SAP 60

SAP B2C Compliance Data Analysis 60

Spreadym

OCTOBER 3, 2023

Data Analysis: They use data analytics tools and techniques to extract insights from financial data, providing valuable information to support strategic decisions. This includes building pro forma financial statements, forecasting cash flows, and scenario analysis.

Financial Planning and Analysis (FP&A) 59

Financial Planning and Analysis (FP&A) Financial Analysis Budgeting Financial Modeling 59

Spreadym

FEBRUARY 26, 2023

From Excel to EPM System Excel allows users to collect data with various resources for on-request data analysis. Read here about how we solved this task with SAP and local EPM System. We understand that regular data exchange between all corporate systems is the basis of good analytics. How do we solve this problem?

Budgeting 52

Budgeting SAP Data Analysis Financial Analysis 52

PYMNTS

DECEMBER 17, 2019

Thanks to better data analysis — including via machine learning and artificial intelligence, among other emerging technologies — personalization is becoming a bigger part of the overall consumer experience. Both companies are integrated with the SAP ERP system, as well as with one another.

B2B 54

B2B B2C SAP eCommerce 54