How process analysis contributes to business success

Monday

Many of us have been frustrated by a particular process, either as a customer or as an employee. Maybe you’ve experienced something that took longer than expected, where you had to jump through hoops that made no sense, or where you could clearly see the process could run more smoothly.

SIPOC Model

The BA Doc

The Supplier, Inputs, Process, Output, Customer (SIPOC) model is a process analysis technique that originates from the Six Sigma methodology. It is used to identify process inputs and outputs in order to evaluate their r

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Value Stream Mapping

The BA Doc

Value stream mapping is a process analysis tool used to identify value added and non-value added steps and processes, especially those that produce waste, such as excess inventory, unused space, test inspection and rewor

Making the switch from homegrown systems to PIM

Ntara

Most manufacturers and distributors use spreadsheets for data transfers, and that can be a lengthy process. Hire someone to guide you through product process analysis, product data modeling, establishing taxonomies, and enriching your data.

Shopping for data

Clarasys

Ultimately this will require unification of more than data – one data model, governed consistently, aligned to a corporate strategy will require retrospective translation of datasets, combined with changes to technology, processing, analysis and reporting; but that could take years to complete.

Microsoft Power Platform App Maker (PL-100) Certification Preparation Guide

Whizlabs

The Microsoft Power Platform App Maker (PL-100) Certification helps individuals develop app-making skills for developing dedicated solutions for transforming, automating, and simplifying the respective operational processes. Process analysis.

Robotic Process Automation is Hot – Integration is Not!

Actian

Robotic process automation (or RPA for short) is the term used to describe the next generation of technology-enabled workflow management capabilities. To leverage and integrate this diverse technology footprint effectively, they need a new set of workflow management and rules-based orchestration capabilities to help them transform specialized components into end-to-end processes that meet business goals. Embedded and Edge Processing of Streaming Data.

New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Moreover, developers themselves are using predictive analytics in their software development processes. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.