SME;s Archives - BE ONE

ERP solutions for businesses of all sizes

Alaa Mostafa — Tue, 04 Apr 2023 08:52:03 +0000

ERP solutions for businesses of all sizes

ERP stands for enterprise resource planning, but what does ERP mean?

The simplest way to define ERP is to think about all the core business processes needed to run a company: finance, HR, manufacturing, supply chain, services, procurement, and others. At its most basic level, ERP helps to efficiently manage all these processes in an integrated system. It is often referred to as the system of record of the organization.

How does ERP fit at any size?

ERP isn’t just for global enterprises. ERP solutions are designed for businesses of all sizes – small, midsize, and large. You can also get industry- and company-specific functionality to meet unique business needs. Regardless of your business sector and size, you’ll want to carefully plan your ERP implementation project, following best practices.

Small business ERP

ERP software for small businesses can help you move beyond spreadsheets and efficiently manage every aspect of your growing company – from sales and customer relationships to financials and operations. Small business ERP tools are typically in the cloud, quick to install, and designed to grow with you.

Mid-Market ERP

Today, ERP software designed for mid-market companies and subsidiaries benefits from built-in analytics, rapid deployment, and best practices for dozens of different business processes – financials, HR, supply chain management, and more. Midsize ERP tools help growing businesses scale and compete, even with limited resources. Modular, cloud-based enterprise ERP systems are also a popular choice for midmarket companies with complex processes or plans for rapid growth.

Enterprise ERP

Large companies with global or subsidiary operations need a robust, market-leading ERP system with embedded AI, machine learning, and analytics – and intelligent automation to transform business models and processes. ERP systems can be deployed on-premise, in the cloud, or a hybrid scenario depending on business needs. They can integrate with existing databases or, ideally, run on newer, powerful in-memory databases.

Many companies are modernizing and upgrading their on-premise ERP systems to cloud deployments. This requires careful planning of your ERP upgrade, as well as an ERP evaluation and review of your deployment options.

Source: SAP Insights

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How master data management works ?

Alaa Mostafa — Mon, 19 Dec 2022 07:25:29 +0000

How master data management works ?

A framework for master data management works to ensure that all information is accurate and semantically consistent. It’s made up of two parts: Creating an initial master data record and then maintaining it.

Creating a master data record

This process begins by identifying the databases and applications that hold data that should be included in the master record. Then all attributes or characteristics – such as product color, size, and materials – are defined. Finally, data is matched, reconciled where inconsistent, and merged where multiple records exist.

Maintaining master data

This process involves cleansing, transforming, and integrating new data as it’s added to the master list to maintain the consistency and quality of records. Some master data management solutions today can automate and accelerate many aspects of this process.

It’s important to note that any process for managing master data should be carried out according to an organization’s data governance principles and policies. They outline how all business data is to be stored, managed, and safeguarded, and by whom – and that includes master data.

Best practices for a winning master data management strategy

A modern master data management strategy includes tools, technologies, and best practices to ensure all stakeholders can have confidence in the quality of data-driven insights – as well as the speed to act on them.

Here are some ways to create a winning strategy:

Create a data governance framework if you haven’t already. As mentioned earlier, MDM activities should be carried out and applied according to data governance guidelines in order to ensure data stewardship and compliance.

Harness artificial intelligence (AI) and machine learning. Some vendors offer MDM software and tools that use these capabilities to automate the process of checking new data for accuracy, matching it with current records, and reconciling them.

Manage multiple domains in one instance. You can find solutions that focus on managing only one domain, such as customer master data or product master data. The best software, however, is capable of integrating and managing all of a company’s domains in one system – often in the cloud. This helps to lower costs, help staff be more productive, and support flexible use cases.

Manage master data in the cloud. Cloud platforms can help increase productivity and efficiency by allowing data from different applications to be brought together, matched, merged, and cleansed – quickly, easily, and at scale. They also feature robust security and automated updates.

Integrate master data management and data governance. By combining a single source of master data with centralized data governance in one solution, it’s easier to enforce policies and compliance – and define, validate, and monitor business rules and master data attributes.

Master data management is an ongoing endeavor, not a one-and-done project. As your organization grows, the volume of data will too. But with cloud-based, intelligent technology, tools, and workflows, these MDM processes become far more efficient.

Source: SAP insights

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‌What is master data management (MDM)?

Alaa Mostafa — Sun, 11 Dec 2022 08:06:38 +0000

What is master data management (MDM)?

‌Master data is all the data that is mission-critical to the running of a business. It describes people (customers, employees, and suppliers), places (offices and locations), and things (products and assets). Master data is typically just a small percentage of all business data, but it is some of the most complex – and valuable – data in an organization. Examples of master data include:

‌Customer master data

As the name suggests, customer master data includes all the core data needed to do business with your customers – from contact information to purchase history and payment terms. Managing master data for this domain includes cleaning and standardizing data across ERP, CRM, and other systems.
For example, the same customer’s name and address could exist in both an ERP and CRM system but be entered in two different ways, like 1030 Sandy Court, 1030 Sandy Crt., or 1030 Sandy Ct. MDM reconciles these differences and provides a single view of each customer that can be used to personalize marketing campaigns, deliver better experiences, and more. In some organizations, customer master data also includes data for employees, healthcare patients, and suppliers.

‌Supplier master data

Supplier master data includes data for vendor accounts, contracts, policies, pricing, and more. It lies at the center of all important procurement activities, from planning and sourcing to contracting and purchasing. Cleansed and trusted vendor master data is critical for answering questions about supplier spend, pricing, or performance – for example.

‌Location master data

Key attributes related to physical locations of agencies, corporate offices, distribution centers, and stores are contained in an organization’s location data. Once connected to other data domains, this information can help fuel location-based decision-making – such as determining the right product assortment for a particular store.

‌Product master data

Product master data management covers attributes such as product number, category, price, features, bills of materials, and all other necessary data points. With uses across processes for sales, marketing, supply chain, and the product development lifecycle, this data needs to be reliable and accurate.

‌Asset master data

Asset master data describes a business’ fixed and intangible assets, such as inventory, equipment, and trademarks. It usually includes attributes such as depreciation terms and values, asset classes, leasing information, and more. Inaccurate asset master data can lead to sub-par asset utilization and management. For example, equipment master data is used in predictive maintenance processes, so if it’s incorrect, then the predictions would be as well.

‌Why is master data management so important?

Besides helping an organization make good decisions and answer key questions, master data management has a host of other benefits. Here are just a few:

‌Reduced errors and redundancies

In data across multiple applications. If the same information, say a customer record, is entered by different teams in an inconsistent way, MDM will merge and reconcile the duplication.

‌Better analytics insights and data-driven decisions

The saying “garbage in, garbage out” holds true here. If the data being analyzed is not accurate, then the results won’t be either.

‌Streamlined business processes and greater efficiency

High-quality, consistent master data can be used to speed up and automate end-to-end business scenarios such as lead to cash, source to pay, and design to operate.

‌Improved transparency and compliance

With data privacy and other regulations. The GDPR, for example, gives people more control over how their information is collected, managed, and shared. Without MDM, records can be fragmented across multiple departmental silos, making compliance difficult.

‌Support for mergers and acquisitions

With a streamlined process for merging and reconciling multiple data assets.

‌Data is crucial for powering digital business processes, and master data is the foundation that all other data relies on. Organizations that have accurate and consistent master data are better positioned to succeed.

Source: SAP Insights

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The business benefits of enterprise integration

Alaa Mostafa — Sun, 27 Nov 2022 09:17:47 +0000

The business benefits of enterprise integration

‌Optimizing and automating business processes

Customers and employees expect a personalized and seamless experience across multiple digital touchpoints. By optimizing and automating fragmented internal business processes, businesses are simultaneously providing compelling customer experiences.

‌Delivering customer insight

Market leaders today must leverage data from inside and outside their organizations to anticipate customer needs and preferences. Organizations can gain a 360-degree understanding of their customers and audiences to increase loyalty and grow their competitive advantage.

‌Designing a futureproof IT landscape

A successful digital strategy often requires extending legacy systems to support new business models. Cohesive this solutions can unlock the value of your existing investments with an API-first approach.

‌Enabling the API economy

Companies are embracing APIs to unlock unique services and create new business models for a competitive advantage. These companies are able to drive these economies within and beyond their immediate organizational boundaries by leveraging digital channels to build a surrounding ecosystem of buyers, partners, and suppliers.

‌Best practices in enterprise integration

Start with a platform approach. A platform-based approach supports the multiple dimensions of enterprise connectivity, catering to a wide range of integration use cases (such as application, process, data, usage, sensors, and others) across on-premise, cloud, and hybrid ecosystems.
Use APIs as foundational building blocks. APIs serve as interchangeable integration components within a platform framework, supporting the integration of people, processes, and systems. This allows the business to easily transform digital assets into new business models through a variety of monetization plans.
Make it accessible to everyone. By democratizing integration, the business can empower all users with intuitive, no-code build experiences. Business users of all backgrounds and technical capabilities can update and build integrations to help maximize business value, lessening the reliance on dedicated developers.
Implement smart lifecycle management. Create ongoing management plans to support the enterprise integration strategy. Plans must include access control, change management processes, rules for extending integrations, management of system credentials, and data encryption. For hybrid deployments, lifecycle management must be able to push patches and upgrades to runtime engines whether on-premise or in the cloud.
‌Drive continual improvements with analytics and predictive intelligence. Use integration activity analytics to draw insights from the flow of data across the business, departments, and endpoints. With increases in user-led integration, predictive intelligence can recognize integration patterns on usage across the organization.
Establish an integration center of excellence (ICoE). An integration center of excellence (ICoE), also known as an integration competency center (ICC), is a shared service within an organization that methodically integrates data, system, cloud, and enterprise applications in a coherent, scalable, and cost-effective way to deliver an enduring competitive advantage. As a centralized function disseminating knowledge and standardizing processes across the organization, the ICoE’s role is to promote enterprise integration as a formal discipline. ICC’s yield multiple benefits to the business including reduced infrastructure and data center costs, sustainable growth, greater supply chain stability, intelligent technologies and predictive analytics for enhanced decision-making, smarter processes automation, and much more.

Source: SAP Insights

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Make each customer experience matter

Alaa Mostafa — Sun, 16 Oct 2022 10:26:47 +0000

Make each customer experience matter

CRM has evolved to represent every touch point in the customer experience. Our enterprise-grade CX solutions can provide end-to-end insights by connecting your commerce, marketing, sales, and service data.

Turn market opportunities into bottom-line realities

Exceptional customer experience begins with placing your audience at the center of all you do. Unify customer data across your enterprise and utilize AI to build unique profiles that can help you truly understand your customers and their preferences.

Win customer trust and loyalty with intelligent engagement

AI-fueled insights can help you make each customer feel like your only customer. Engage and understand consumers on their terms, while respecting their privacy preferences at every point in the customer journey, to retain and upsell with machine learning and smart automation.

Scale, grow, and future-proof your enterprise with end-to-end business models

Business is global, but not every business is ready to be a global business. By deploying end-to-end operations with a clear view of inventory, supply, and customer engagements, you can sell anywhere, anytime – on the terms your customers expect.

Source: SAP insights

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Small and Midsize Business Management Software

Alaa Mostafa — Thu, 08 Sep 2022 14:09:41 +0000

Small and Midsize Business Management Software

‌SAP solutions equip your business to address today’s challenges while building the foundation to seize future opportunities.

Give your business the tools it needs with SAP software

You face a variety of challenges – from managing cash flow, supply chain, and operations to taking care of remote work and employee engagement, all while meeting fluctuating market conditions and customer needs. With 80% of our customers considered small and midsize enterprises (SMEs)*, we have the experience and solutions to help you meet your goals.

Why choose SAP to grow your business?

Discover why midsize companies select SAP technology as a proven foundation, to connect, grow, and innovate their business. Tackle today’s challenges and prepare for the future opportunities.

Top 10 business goals for SMB’s

Top 10 business goals for small and midsize companies – and how to achieve them with help from SAP Discover what 2,000 small and midsize business leaders from 19 different countries cited as their top 10 business goals, get tips and examples of how other growing companies achieved their goals, and learn how SAP enables businesses to keep driving change and moving forward – whether you have a few employees or a few hundred.

Improve the Customer Experience
Enable Growth (Revenue, Market Share, or Billable Hours)
Attract New Customers
Improve the Employee Experience
Increase Profits and Reduce Costs
Minimize Business or Compliance Risk
Innovate (New Products, Services, or Business Models)
Increase Employee Productivity and Efficiency
Enable Specific Digitalization and Business Transformation Initiatives
Increase Organizational Agility

Why Do Midsize Companies Choose SAP?

SAP helps midsize businesses like yours that are creating new ideas and reshaping industries to keep driving change and keep moving forward – whether you have a few employees or a few hundred. Eighty percent of our customers are small and midsize companies, so we have solutions designed and priced for you, such as solutions connecting finance, operations, HR, and sales to create exceptional employee and customer experiences. We also offer proven procurement, inventory, and industry-specific processes to help you move faster, adapt quickly, and face any competitor. Our local partners can get you up and running in weeks, so you can keep business moving forward today and be confident that SAP will be with you wherever you go next.

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