ERP systems integrate core business functions like planning, manufacturing, sales and marketing into a single system. This allows for sharing of data across different departments. ERP systems evolved from MRP systems focused on inventory and production planning. Major benefits of ERP include integrating financial and customer information, standardizing processes, and reducing inventory. However, ERP implementation can be expensive and time-consuming with risks if not implemented properly.
PRESENTATION ON ENTERPRISE RESOURCE PLANNING
The practice of consolidating an
enterprise’s planning, manufacturing, sales and marketing efforts into one management system.
Combines all databases across departments into a single database that can be accessed by all employees.
PRESENTATION ON ENTERPRISE RESOURCE PLANNING
The practice of consolidating an
enterprise’s planning, manufacturing, sales and marketing efforts into one management system.
Combines all databases across departments into a single database that can be accessed by all employees.
Relgo networks reviews (erp) systems provides business solutions in customer relationship management and believes that an effective customer relationship management helps a firm in building a strong reputation in the market as well as in building its brand which ultimately bring more business to the firm.
ERP is an acronym for Enterprise Resource Planning, but even its full name doesn't shed much light on what ERP is or what it does. For that, you need to take a step back and think about all of the various processes that are essential to running a business, including inventory and order management, accounting, human resources, customer relationship management (CRM), and beyond. At its most basic level, ERP software integrates these various functions into one complete system to streamline processes and information across the entire organization.
The central feature of all ERP systems is a shared database that supports multiple functions used by different business units. In practice, this means that employees in different divisions—for example, accounting and sales—can rely on the same information for their specific needs.
Relgo networks reviews (erp) systems provides business solutions in customer relationship management and believes that an effective customer relationship management helps a firm in building a strong reputation in the market as well as in building its brand which ultimately bring more business to the firm.
ERP is an acronym for Enterprise Resource Planning, but even its full name doesn't shed much light on what ERP is or what it does. For that, you need to take a step back and think about all of the various processes that are essential to running a business, including inventory and order management, accounting, human resources, customer relationship management (CRM), and beyond. At its most basic level, ERP software integrates these various functions into one complete system to streamline processes and information across the entire organization.
The central feature of all ERP systems is a shared database that supports multiple functions used by different business units. In practice, this means that employees in different divisions—for example, accounting and sales—can rely on the same information for their specific needs.
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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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.
1. What is ERP?
• The practice of consolidating an
enterprise’s planning, manufacturing, sales
and marketing efforts into one
management system.
• Combines all databases across
departments into a single database that
can be accessed by all employees.
2. Evolution of ERP
1960s: software packages with inventory control
1970s: MRP systems
Production schedule with materials management
1980s: MRPII systems
Adds financial accounting system
1990s: MRPII
Integrated systems for manufacturing execution
Late 1990s: ERP
Integrated manufacturing with supply chain
3. Major Reasons for Adopting ERP
• Integrate financial information
•Integrate customer order information
• Standardize and speed up operations
processes
• Reduce inventory
• Standardize Human Resources information
4. How do ERP System Work
Employees
Central
Database
Human
Resource
Management
Applications
Managers and Stakeholders
Financial Applications
Reporting
Applications
Manufacturing
Applications
Inventory
And Supply
Applications
Human
Resource
Management
Applications
Service
Applications
Sales and
Delivery
Applications
Sales Force
And Customer
Service Reps
Customers Back-office
Administrators
And Workers
Suppliers
5. Components of ERP System
Finance: modules for book keeping and making
sure the bills are paid on time. Examples:
General ledger
Accounts receivable
Accounts payable
HR: software for handling personnel-related
tasks for corporate managers and individual
employees. Examples:
HR administration
Payroll
Self-service HR
8. An ERP Example: AfterERP
Database
Customers Sales Dept.
Purchasing
Warehouse
Accounting
Vendor
Inventory Data
If no parts,
order is placed
through DB
Orders
Parts
Order is submitted
to Purchasing.
Purchasing record
order in DB
Order is placed
with Vendor
Financial Data exchange;
Books invoice against PO
Books inventory
against PO
Shipsparts
And invoices accounting
9. Potential Benefits of ERP
Internal Benefits
of
Integration of a single source
data
Common data definition A real-
time system Increased
productivity Reduced
operating costs
Improved internal communication
Foundation for future improvement
10. Potential Benefits of ERP
External Benefits
• Improved customer service and order
fulfillment
• Improved communication with suppliers
and customers
• Enhanced competitive position
• Increased sales and profits
11. Benefits of ERP
Direct benefits include:
1.improved efficiency
2.information integration for better
decision making
3.Faster response time to customer
queries
13. Potential Benefits are
1. Reduction of Lead-Time
2. On-Time Shipment
3. Reduction in cycle time
4. Better customer satisfaction
Others are
1. Improved supplier performance
2. Increased Flexibility
3. Reduction in quality costs
4. Improved resource utility
5. Improved information accuracy and decision-
making ability
14. Risks with ERP Implementation
Expensive (can costs 100 thousands to
millions of dollars)
Time-consuming (can take months to years)
Great risk for the organization
Transfer of Knowledge
Acceptance with the company
15. Before ERP & After ERP
Stand alone System.
Lack of coordination
among business
function(Manufacturing &
sales)
Non Integrated data: Data
have different meanings.
System are
maintained on a
procedural basis
Redundant data and
inconsistent information.
Difficult to manage.
Integrated System.
Support coordination
among business functions.
Integrated Data: Data have
the same meaning across
multiple functions.
Changes affect multiple
functions or Systems
Common interfaces across
systems.
18. ERP Finance Module
In This Data is collected From
various functional departments
and generate financial reports
ledger, Trail Balance, Balance
Sheets etc.
19. ERP HR(Human Resource) Module
HR Module routinely maintain a complete
employee database including contact information,
Salary details Attendance, Promotions of all
employees.
Produce pay check Reports
Maintain personnel Record
Training
Time and Attendance Benefits
23. ERP ImplementationApproaches
The big bang – install a single ERP system across
the entire organization
Franchising – Independent ERP systems are
installed in different units linked by common
processes, e.g., bookkeeping.
Slam dunk – install one or several ERP modules
for phased implementation of key business
processes
24. Major Phases of ERP Implementation
Initiation – develop business case, project scope,
and implementation strategy
Planning – establish implementation team,
determine goals and objectives, establish metrics
Analysis and process design – analyze and
improve existing processes, map new processes to
be adopted by the system
25. Major Phases of ERP Implementation
Realization – install a base system,
customization, and test the system
Transition – replace the formal system with
the new system, data conversion
Operation – monitor and improve system
performance, provide continued training and
technical support
26. Major Challenges to ERPImplementation
Limitations of ERP technical capabilities
Inconsistency with existing business processes
Costs - implementation (hardware, software,
training, consulting) and maintenance
Changes in employee responsibilities
27. Major Challenges to ERP Implementation
Flexibility of software system upgrades
Implementation timelines
Availability of internal technical
knowledge and resources
Education and training
Implementation strategy and execution
Resistance to change
28. New Developments In ERP
Availability of web-based and wireless ERP
systems
Adoption of easy-to-install ERP systems
Linkage to other software systems, e.g., supply
chain management system, e-commerce, customer
relationship management system
29. Advantages of ERP
Quicker completion of Processes
Single system
Modular software
Database
Easier to track various tasks
Manage globally Data
