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7 Ways Finance Pros Using ERP Can Benefit from an Enterprise Cost and Profita...3C Software
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SQL Server 2005 Everywhere Edition Value Propositionbutest
This document provides an overview of the integration between Microsoft SQL Server 2005 reporting and analysis tools and the 2007 Microsoft Office system. It discusses how Reporting Services integrates with SharePoint Server 2007 to allow viewing and managing reports within SharePoint sites. It also covers how Analysis Services works with Excel 2007 to enable easy analysis of OLAP data through pivot tables. Finally, it summarizes the data mining add-ins for Office 2007 that provide data mining functionality within Excel and Visio.
This white paper discusses how OEE (Overall Equipment Effectiveness) and MES (Manufacturing Execution System) can help food and beverage manufacturers reduce costs. OEE measures availability, performance, and quality to identify improvement opportunities. Schneider Electric's Ampla MES solution collects real-time production data across multiple systems to provide analytics and insights. Implementing an automated MES can help manufacturers reduce downtime, waste, and labor costs through continuous monitoring and root cause analysis of production issues.
This article discusses Microsoft business intelligence tools for different types of reporting and analysis workloads, including self-service BI, corporate BI, and advanced analytics. It describes tools like Excel, Power BI, SQL Server Analysis Services, and others, explaining their uses and typical architectures. Key considerations for each workload are also outlined.
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Whether you're an executive looking for answers on product and customer profitability or an accountant generating product cost sheets, you likely come into regular contact with your company's ERP system and the data it generates.
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The document provides an overview of the Infor Visual ERP software. It describes Infor as a software company that specializes in enterprise software, including ERP, CRM, and supply chain management. It then discusses the core and optional modules of Infor Visual, highlighting unique features like the Manufacturing Window and Common Sense Throughput reporting for CEOs. The document also provides examples of how Infor Visual integrates with other Infor products and can be deployed through cloud computing.
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Business intelligence - benefits of using an online analytical solutionHeadChannel
This document discusses the benefits of using a business intelligence (BI) solution compared to Excel-based reporting. BI solutions can analyze data faster, more efficiently, and accurately from multiple sources. They generate more detailed, wider-ranging, and accurate reports. BI also saves costs through greater efficiency and ability to predict future trends. While Excel is flexible, BI mitigates issues like lengthy manual work, need for qualified staff, and unreliable reports. BI converts and aggregates data to present key information clearly and allows historical comparisons and flexible analysis not possible with separate Excel files.
A completely integrated ERP and manufacturing system to help you run your business better. eresource manufacturing ERP software offers the largest footprint of ERP, manufacturing, MES, and supply chain software modules in the industry developed by a Best ERP software company in India.
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3. Defining reports using row sets, column sets, and report definitions, and submitting and viewing reports.
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https://www.datatobiz.com/blog/power-bi-for-banking/
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PrepAI: https://www.prepai.io/
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
2. About the Topic
Overall Equipment Efficiency
tracking is a data-driven
approach used to measure the
effectiveness of your equipment
in producing goods or services.
It considers three key factors:
availability, performance, and
quality. These factors are then
multiplied together to get an
overall OEE score, which ranges
from 0 to 100%.
3. 1. Data Visualization
Power BI can help production
companies track OEE by providing
real-time data visualization
dashboards that can show the
performance of each machine or
equipment.
This allows production managers
to identify areas of inefficiency in
their production process and take
corrective actions quickly.
4. 2. Integration
Power BI can integrate with
different data sources like
Microsoft Excel or SQL Server to
collect and analyze data from
different production systems.
This makes it easier for
production managers to get a
complete view of their
production process and identify
the root cause of any issues.
5. 3. Customizable Reports
Power BI allows production
companies to create customized
reports showing different KPIs (key
performance indicators) related to
OEE trackings, such as machine
utilization, downtime, and
production yield.
This helps production managers to
identify opportunities for improving
production efficiency and
profitability.
6. 4. Machine Learning
Power BI can be used to
implement machine learning
algorithms to predict potential
issues with the equipment or
machines.
This allows production
companies to take preventive
measures to avoid downtime
and improve overall production
efficiency.
7. 5. Mobile App
Power BI can be accessed
through a mobile app, which
allows production managers to
monitor the production process
from anywhere and anytime.
This provides real-time visibility
into production operations and
helps managers make informed
decisions quickly.
8. Conclusion
Power BI is a good fitting tool for
tracking OEE in production
companies.
It provides real-time data
visualization, integrates with
different data sources, provides
customized reports, and allows
the implementation of ML
algorithms to improve
production efficiency.
9. Thank You For Reading!
Check out more: www.datatobiz.com