Enterprise systems, also known as ERP systems, integrate key business processes like manufacturing, finance, sales, and human resources into a single software system. This allows information that was previously held in separate systems to be stored in a central database, making it accessible across the organization. The systems feature integrated modules and a shared database to enable data sharing between different business functions. Common ERP vendors include SAP, Oracle, IBM, Infor, and Microsoft.
206 - Management Information System [Unit 5: Operations] [BBA II, Rajasthan U...User default
Course: BBA II
University: Rajasthan University
Subject Name: Management Information System (M.I.S)
Subject Code: 206
Unit: 5 (Operations)
Syllabus:
- M.I.S for Finance
- M.I.S for Marketing
- M.I.S for Production
- M.I.S for Human Resource Management
206 - Management Information System [Unit 5: Operations] [BBA II, Rajasthan U...User default
Course: BBA II
University: Rajasthan University
Subject Name: Management Information System (M.I.S)
Subject Code: 206
Unit: 5 (Operations)
Syllabus:
- M.I.S for Finance
- M.I.S for Marketing
- M.I.S for Production
- M.I.S for Human Resource Management
Introduction to Enterprise Resource Planning (ERP )
Information System and Its Components, Value Chain Framework, Organizational Functional Units, Evolution of ERP Systems, Role of ERP in Organization, Three-Tier Architecture of ERP system
In today's competitive world, one has to manage the future of an enterprise more cleverly. Managing the future means managing the information. A large enterprise may generate huge amount of data such as financial data, customer details, purchase details, employee data etc. Only the organization that makes the best possible use of this information can succeed. In this age of information explosion, it is very difficult to manage this huge information by people alone.
Information technology and its related technologies can be used for planning and organizing resources and information of an enterprise. Hence most of the organizations are moving to Enterprise Resource Planning (ERP) packages as a solution to their information management problem.
Enterprise Resource Planning is a business management software having integrated applications that a company uses to collect, store , manage and interpret the data for many business activities like product planning, manufacturing ,market and sales, inventory management, shipping and payment.ERP provides an integrated view of core business facilities that is often in real time , using common database maintained by a database management system. It tracks the business resources, cash flow, raw material, production capacity and status of the business that will be coordinated at different levels of management.
Chapter 6Systems6.1 Information Systems6.1.1 What JinElias52
Chapter 6
Systems
6.1 Information Systems
6.1.1 What is an Information System?
CS, Complex Problems
● Computer Science
● Software Engineering
● Information Systems
● Information Technology
● Customer CS, Applied
Solution
s
D
is
co
ve
ry
Customer Support
CS Venn Diagram
A system is a group of procedures and different elements
that work together in order to complete a task. Now we
can add on to this to get information systems. Informa-
tion systems are much the same, there are elements and
procedures to work to complete a task. The difference
is information systems are used to generate information
for the users on a need basis. Information systems man-
age and process data as soon as they are created. They
can also be used for long term planning or just the day
to day work. While systems are great and can ease your
life, they are static, which means someone will need to
change the systems when new needs arise. This is called
system development. While it could be costly, there re-
ally is a need for system development since things change
constantly. Whether there are new laws or a new policy
within the company.
Some information systems are meant to be used by all lev-
els of employees while others are specifically designed
to handle the needs of employees with certain respon-
sibilities. As one goes higher up the company ladder,
it can be seen how responsibilities may increase relative
to position. It is for this reason that some information
systems are designed to hone in on the needs of certain
Management Pyramid
level employees. At the ground level, employees gener-
ally make job related decisions that are based on “on-the-
job” input without having to consider how those decisions
will effect other departments or employees in other po-
sitions. These usually involve transaction systems such
as point-of-sales or warehouse systems that record stock
and inventory. Operational managers such as supervisors
or foremen use separate information systems designed to
meet short term goals and gains. They might use systems
that show the productivity of employees or the cost effec-
tiveness of certain changes they've made in production.
Middle managers are a step up from this and use informa-
tion systems that house a broader range of information to
make more tactical decisions. These decisions are usually
aimed at a farther sighted goal than those of Operational
managers and often need more intelligence pulled from
data systems in order to reach these objectives. Middle
managers might be more concerned with how to improve
yearly gains and may use systems that will deliver more
detailed information about specific locations of factories
or retailers in certain states. Executive managers think
in terms of the future and the direction of a company re-
lated to their peer corporations. They make very strategic
decisions to ensure the survival of the entire company as
a whole in relation to the economy and competition. The
systems they use mi ...
Introduction to Enterprise Resource Planning (ERP )
Information System and Its Components, Value Chain Framework, Organizational Functional Units, Evolution of ERP Systems, Role of ERP in Organization, Three-Tier Architecture of ERP system
In today's competitive world, one has to manage the future of an enterprise more cleverly. Managing the future means managing the information. A large enterprise may generate huge amount of data such as financial data, customer details, purchase details, employee data etc. Only the organization that makes the best possible use of this information can succeed. In this age of information explosion, it is very difficult to manage this huge information by people alone.
Information technology and its related technologies can be used for planning and organizing resources and information of an enterprise. Hence most of the organizations are moving to Enterprise Resource Planning (ERP) packages as a solution to their information management problem.
Enterprise Resource Planning is a business management software having integrated applications that a company uses to collect, store , manage and interpret the data for many business activities like product planning, manufacturing ,market and sales, inventory management, shipping and payment.ERP provides an integrated view of core business facilities that is often in real time , using common database maintained by a database management system. It tracks the business resources, cash flow, raw material, production capacity and status of the business that will be coordinated at different levels of management.
Chapter 6Systems6.1 Information Systems6.1.1 What JinElias52
Chapter 6
Systems
6.1 Information Systems
6.1.1 What is an Information System?
CS, Complex Problems
● Computer Science
● Software Engineering
● Information Systems
● Information Technology
● Customer CS, Applied
Solution
s
D
is
co
ve
ry
Customer Support
CS Venn Diagram
A system is a group of procedures and different elements
that work together in order to complete a task. Now we
can add on to this to get information systems. Informa-
tion systems are much the same, there are elements and
procedures to work to complete a task. The difference
is information systems are used to generate information
for the users on a need basis. Information systems man-
age and process data as soon as they are created. They
can also be used for long term planning or just the day
to day work. While systems are great and can ease your
life, they are static, which means someone will need to
change the systems when new needs arise. This is called
system development. While it could be costly, there re-
ally is a need for system development since things change
constantly. Whether there are new laws or a new policy
within the company.
Some information systems are meant to be used by all lev-
els of employees while others are specifically designed
to handle the needs of employees with certain respon-
sibilities. As one goes higher up the company ladder,
it can be seen how responsibilities may increase relative
to position. It is for this reason that some information
systems are designed to hone in on the needs of certain
Management Pyramid
level employees. At the ground level, employees gener-
ally make job related decisions that are based on “on-the-
job” input without having to consider how those decisions
will effect other departments or employees in other po-
sitions. These usually involve transaction systems such
as point-of-sales or warehouse systems that record stock
and inventory. Operational managers such as supervisors
or foremen use separate information systems designed to
meet short term goals and gains. They might use systems
that show the productivity of employees or the cost effec-
tiveness of certain changes they've made in production.
Middle managers are a step up from this and use informa-
tion systems that house a broader range of information to
make more tactical decisions. These decisions are usually
aimed at a farther sighted goal than those of Operational
managers and often need more intelligence pulled from
data systems in order to reach these objectives. Middle
managers might be more concerned with how to improve
yearly gains and may use systems that will deliver more
detailed information about specific locations of factories
or retailers in certain states. Executive managers think
in terms of the future and the direction of a company re-
lated to their peer corporations. They make very strategic
decisions to ensure the survival of the entire company as
a whole in relation to the economy and competition. The
systems they use mi ...
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. ENTERPRISE SYSTEMS
Around the globe, companies are increasingly becoming
more connected, both internally and with other
companies.
Enterprise system, also known as enterprise resource
planning (ERP) system, which are based on a suite of
integrated software modules and a common central
database.
The database collects data from many different divisions
and departments in a firm, and from a large number of
key business processes in manufacturing and production,
finance and accounting, sales ad marketing, and human
resources, making the data available for applications that
support nearly all of an organization's internal business.
3. ENTERPRISE SYSTEMS
Firms use enterprise systems, also known as enterprise
resource planning(ERP) Systems, to integrate business
process in manufacturing and production, finance and
accounting, sales and marketing and human resources
into a single software system.
Information that was previously fragmented in many
different systems is sorted in a single comprehensive
data repository where it can be used by many different
parts of the business.
4. HOW ENTERPRISE SYSTEM WORK
Enterprise systems feature a set of integrated software modules and a central database that
enables data to be shared by many different business processes and functional areas
throughout the enterprise.
6. MIS APPLICATIONS IN AN ENTERPRISE/ BUSINESS( HOW
BUSINESS PROCESS SUPPORTED BY ENTERPRISES
SYSTEM)
1. Financial and accounting processes: Including
general ledger, accounts payable, accounts
receivable, fixed assets, cash management ad
forecasting, product cost accounting, cost-center
accounting, asset accounting, tax accounting,
credit management and financial reporting.
2. Human Resources Processes: Including
personnel administration, time accounting payroll,
personnel planning and development, benefits
accounting, applicant tracking, time management,
compensation, workforce planning, performance
management, and travel expense reporting.
7. MIS APPLICATIONS IN AN ENTERPRISE/ BUSINESS( HOW
BUSINESS PROCESS SUPPORTED BY ENTERPRISES
SYSTEM)
3. Manufacturing and production processes:
Including procurement, inventory management,
purchasing, shipping, production planning,
production scheduling, material requirements
planning, quality control, distribution,
transportation execution, and plant and equipment
maintenance.
4. Sales & Marketing Processes: Including order
processing. Quotations, contracts, product
configuration, pricing, billing, credit checking,
incentive and commission management and sales
planning.
8. EXAMPLES:
Leading enterprise software vendors include:-
SAP, Oracle, IBM, Infor Global Solutions, and Microsoft.
There are versions of enterprise software packages
designed for small and medium-sized businesses and
on-demand versions, including software services
running in the cloud.
