#CRM comparison

[prosperasoft]

Salesforce vs. ServiceNow: Choosing the Right Platform for Your Business

In today's competitive business landscape, selecting the appropriate software solution can significantly impact your organization's success. Salesforce and ServiceNow are prominent names in the technology industry, each catering to distinct business needs. Salesforce is renowned for its robust Customer Relationship Management (CRM) capabilities, while ServiceNow excels in IT Service Management (ITSM) and enterprise service delivery. This comprehensive comparison explores their features, benefits, and ideal use cases to help you determine the best fit for your business.

Introduction to Salesforce and ServiceNow

Salesforce and ServiceNow serve critical roles in modern business operations. Salesforce offers extensive features supporting sales, marketing, and customer service. Its intuitive interface and powerful analytics tools enable businesses to track customer interactions and derive actionable insights. In contrast, ServiceNow focuses on optimizing IT services through advanced ITSM capabilities, ensuring operational efficiency and seamless service delivery across departments.

Key Features of Salesforce

Salesforce boasts a wide array of features designed to enhance productivity and customer engagement:

Customizable CRM Tools: Tailored solutions for managing customer relationships.

Advanced Analytics: Powerful tools for intelligent data analysis and reporting.

Marketing Automation: Streamlined automation capabilities to optimize marketing efforts.

App Marketplace (AppExchange): A robust ecosystem of third-party integrations.

Integration Flexibility: Seamless integration with numerous external applications.

Key Features of ServiceNow

ServiceNow specializes in IT service management and workflow automation:

Comprehensive ITSM Capabilities: Tools for incident, problem, and change management.

Workflow Automation: Intelligent automation to streamline operational processes.

Real-time Incident Reporting: Swift identification and resolution of issues.

Enterprise Integration: Seamless integration options with enterprise applications.

Security and Compliance: Strong emphasis on data security and regulatory compliance.

Choosing Between Salesforce and ServiceNow

Selecting the right platform depends on your organization's specific needs:

Salesforce: Ideal for enhancing customer relationships, sales processes, and marketing efforts.

ServiceNow: Best suited for optimizing IT service delivery, improving operational efficiency, and ensuring compliance.

Both platforms offer significant advantages, but your choice should align with your business's strategic objectives, scalability requirements, and integration capabilities.

Conclusion

Salesforce and ServiceNow are leading solutions in their respective domains, each offering unique strengths to support your business goals. Evaluating your operational requirements and understanding the core functionalities of each platform will empower you to make an informed decision. Whether you prioritize customer relationship management or IT service optimization, choosing the right platform is crucial for achieving long-term success.

Contact us at ProsperaSoft to discuss how we can assist in leveraging Salesforce or ServiceNow for your business success.

[vastedge330]

Compare Salesforce and NetSuite to find the best CRM for your business. Explore their differences in features, pricing, scalability, and integration capabilities to make an informed decision based on your organization’s needs.

[fastdot]

SugarCRM vs Salesforce: CRM Software Review

Key takeaways Both SugarCRM and Salesforce offer comprehensive CRM solutions with advanced features for sales, marketing, and customer service, but they cater to different business needs and preferences. Salesforce offers sophisticated lead and contacts management functionalities, customizable pricing options, advanced AI, and an extensive add-on library through Salesforce AppExchange. SugarCRM…

[cool-wilson-david]

LeadsMate AI by Firas and Rahul Review

LeadsMate AI by Firas and Rahul – Enhance Your Lead Generation Efforts with AI Insights and Automation for Higher Conversions Using LeadsMate AI LeadsMate AI by Firas and Rahul is quickly becoming an indispensable tool for businesses aiming to modernize their lead generation process. Powered by state-of-the-art AI, it pulls data from a variety of sources, such as Google, LinkedIn, Facebook Meta,…

[jcmarchi]

Anthony Deighton, CEO of Tamr – Interview Series

New Post has been published on https://thedigitalinsider.com/anthony-deighton-ceo-of-tamr-interview-series/

Anthony Deighton, CEO of Tamr – Interview Series

Anthony Deighton is CEO of Tamr. He has 20 years of experience building and scaling enterprise software companies. Most recently, he spent two years as Chief Marketing Officer at Celonis, establishing their leadership in the Process Mining software category and creating demand generation programs resulting in 130% ARR growth. Prior to that, he served for 10+ years at Qlik growing it from an unknown Swedish software company to a public company — in roles from product leadership, product marketing and finally as CTO. He began his career at Siebel Systems learning how to build enterprise software companies in a variety of product roles.

Can you share some key milestones from your journey in the enterprise software industry, particularly your time at Qlik and Celonis?

I began my career in enterprise software at Siebel Systems and learned a lot about building and scaling enterprise software companies from the leadership team there. I joined Qlik when it was a small, unknown, Swedish software company with 95% of the small 60-person team located in Lund, Sweden. I joke that since I wasn’t an engineer or a salesperson, I was put in charge of marketing. I built the marketing team there, but over time my interest and contributions gravitated towards product management, and eventually I became Chief Product Officer. We took Qlik public in 2010, and we continued as a successful public company. After that, we wanted to do some acquisitions, so I started an M&A team. After a long and reasonably successful run as a public company, we eventually sold Qlik to a private equity firm named Thoma Bravo. It was, as I like to say, the full life cycle of an enterprise software company. After leaving Qlik, I joined Celonis, a small German software company trying to gain success selling in the U.S. Again, I ran marketing as the CMO. We grew very quickly and built a very successful global marketing function.

Both Celonis and Qlik were focused on the front end of the data analytics challenge – how do I see and understand data? In Qlik’s case, that was dashboards; in Celonis’ case it was business processes. But a common challenge across both was the data behind these visualizations.  Many customers complained that the data was wrong: duplicate records, incomplete records, missing silos of data. This is what attracted me to Tamr, where I felt that for the first time, we might be able to solve the challenge of messy enterprise data. The first 15 years of my enterprise software career was spent visualizing data, I hope that the next 15 can be spent cleaning that data up.

How did your early experiences shape your approach to building and scaling enterprise software companies?

One important lesson I learned in the shift from Siebel to Qlik was the power of simplicity.  Siebel was very powerful software, but it was killed in the market by Salesforce.com, which made a CRM with many fewer features (“a toy” Siebel used to call it), but customers could get it up and running quickly because it was delivered as a SaaS solution. It seems obvious today, but at the time the wisdom was that customers bought features, but what we learned is that customers invest in solutions to solve their business problems. So, if your software solves their problem faster, you win. Qlik was a simple solution to the data analytics problem, but it was radically simpler. As a result, we could beat more feature-rich competitors such as Business Objects and Cognos.

The second important lesson I learned was in my career transition from marketing to product.  We think of these domains as distinct. In my career I have found that I move fluidly between product and marketing. There is an intimate link between what product you build and how you describe it to potential customers. And there is an equally important link between what prospects demand and what product we should build. The ability to move between these conversations is a critical success factor for any enterprise software company. A common reason for a startup’s failure is believing “if you build it, they will come.” This is the common belief that if you just build cool software, people will line up to buy it. This never works, and the solution is a robust marketing process connected with your software development process.

The last idea I will share links my academic work with my professional work. I had the opportunity at business school to take a class about Clay Christensen’s theory of disruptive innovation. In my professional work, I have had the opportunity to experience both being the disruptor and being disrupted. The key lesson I’ve learned is that any disruptive innovation is a result of an exogenous platform shift that makes the impossible finally possible. In Qlik’s case it was the platform availability of large memory servers that allowed Qlik to disrupt traditional cube-based reporting. At Tamr, the platform availability of machine learning at scale allows us to disrupt manual rules-based MDM in favor of an AI-based approach. It’s important to always figure out what platform shift is driving your disruption.

What inspired the development of AI-native Master Data Management (MDM), and how does it differ from traditional MDM solutions?

The development of Tamr came out of academic work at MIT (Massachusetts Institute of Technology) around entity resolution. Under the academic leadership of Turing Award winner Michael Stonebraker, the question the team were investigating was “can we link data records across hundreds of thousands of sources and millions of records.” On the face of it, this is an insurmountable challenge because the more records and sources the more records each possible match needs to be compared to. Computer scientists call this an “n-squared problem” because the problem increases geometrically with scale.

Traditional MDM systems try to solve this problem with rules and large amounts of manual data curation. Rules don’t scale because you can never write enough rules to cover every corner case and managing thousands of rules is a technical impossibility. Manual curation is extremely expensive because it relies on humans to try to work through millions of possible records and comparisons. Taken together, this explains the poor market adoption of traditional MDM (Master Data Management) solutions. Frankly put, no one likes traditional MDM.

Tamr’s simple idea was to train an AI to do the work of source ingestion, record matching, and value resolution. The great thing about AI is that it doesn’t eat, sleep, or take vacation; it is also highly parallelizable, so it can take on huge volumes of data and churn away at making it better.  So, where MDM used to be impossible, it is finally possible to achieve clean, consolidated up-to-date data (see above).

What are the biggest challenges companies face with their data management, and how does Tamr address these issues?

The first, and arguably the most important challenge companies face in data management is that their business users don’t use the data they generate. Or said differently, if data teams don’t produce high-quality data that their organizations use to answer analytical questions or streamline business processes, then they’re wasting time and money. A primary output of Tamr is a 360 page for every entity record (think: customer, product, part, etc.) that combines all the underlying 1st and 3rd party data so business users can see and provide feedback on the data.  Like a wiki for your entity data. This 360 page is also the input to a conversational interface that allows business users to ask and answer questions with the data. So, job one is to give the user the data.

Why is it so hard for companies to give users data they love? Because there are three primary hard problems underlying that goal: loading a new source, matching the new records into the existing data, and fixing the values/fields in data. Tamr makes it easy to load new sources of data because its AI automatically maps new fields into a defined entity schema. This means that regardless of what a new data source calls a particular field (example: cust_name) it gets mapped to the right central definition of that entity (example: “customer name”). The next challenge is to link records which are duplicates. Duplication in this context means that the records are, in fact, the same real-world entity. Tamr’s AI does this, and even uses external 3rd party sources as “ground truth” to resolve common entities such as companies and people. A good example of this would be linking all the records across many sources for an important customer such as “Dell Computer.”  Lastly, for any given record there may be fields which are blank or incorrect. Tamr can impute the correct field values from internal and 3rd party sources.

Can you share a success story where Tamr significantly improved a company’s data management and business outcomes?

CHG Healthcare is a major player in the healthcare staffing industry, connecting skilled healthcare professionals with facilities in need. Whether it’s temporary doctors through Locums, nurses with RNnetwork, or broader solutions through CHG itself, they provide customized staffing solutions to help healthcare facilities run smoothly and deliver quality care to patients.

Their fundamental value proposition is connecting the right healthcare providers with the right facility at the right time. Their challenge was that they didn’t have an accurate, unified view of all the providers in their network. Given their scale (7.5M+ providers), it was impossible to keep their data accurate with legacy, rules-driven approaches without breaking the bank on human curators. They also couldn’t ignore the problem since their staffing decisions depended on it. Bad data for them could mean a provider gets more shifts than they can handle, leading to burnout.

Using Tamr’s advanced AI/ML capabilities, CHG Healthcare reduced duplicate physician records by 45% and almost completely eliminated the manual data preparation that was being done by scarce data & analytics resources. And most importantly, by having a trusted and accurate view of providers, CHG is able to optimize staffing, enabling them to deliver a better customer experience.

What are some common misconceptions about AI in data management, and how does Tamr help dispel these myths?

A common misconception is that AI has to be “perfect”, or that rules and human curation are perfect in contrast to AI. The reality is that rules fail all the time. And, more importantly, when rules fail, the only solution is more rules. So, you have an unmanageable mess of rules.  And human curation is fallible as well. Humans might have good intentions (although not always), but they’re not always right. What’s worse, some human curators are better than others, or simply might make different decisions than others. AI, in contrast, is probabilistic by nature. We can validate through statistics how accurate any of these techniques are, and when we do we find that AI is less expensive and more accurate than any competing alternative.

Tamr combines AI with human refinement for data accuracy. Can you elaborate on how this combination works in practice?

Humans provide something exceptionally important to AI – they provide the training. AI is really about scaling human efforts. What Tamr looks to humans for is the small number of examples (“training labels”) that the machine can use to set the model parameters. In practice what this looks like is humans spend a small amount of time with the data, giving Tamr examples of errors and mistakes in the data, and the AI runs those lessons across the full data set(s). In addition, as new data is added, or data changes, the AI can surface instances where it is struggling to confidently make decisions (“low confidence matches”) and ask the human for input. This input, of course, goes to refine and update the models.

What role do large language models (LLMs) play in Tamr’s data quality and enrichment processes?

First, it’s important to be clear about what LLMs are good at. Fundamentally, LLMs are about language. They produce strings of text which mean something, and they can “understand” the meaning of text that’s handed to them. So, you could say that they are language machines. So for Tamr, where language is important, we use LLMs. One obvious example is in our conversational interface which sits on top of our entity data which we affectionately call our virtual CDO. When you speak to your real-life CDO they understand you and they respond using language you understand. This is exactly what we’d expect from an LLM, and that is exactly how we use it in that part of our software. What’s valuable about Tamr in this context is that we use the entity data as context for the conversation with our vCDO. It’s like your real-life CDO has ALL your BEST enterprise data at their fingertips when they respond to your questions – wouldn’t that be great!

In addition, there are instances where in cleaning data values or imputing missing values, where we want to use a language-based interpretation of input values to find or fix a missing value.  For example, you might ask from the text “5mm ball bearing” what is the size of the part, and an LLM (or a person) would correctly answer “5mm.”

Lastly, underlying LLMs are embedding models which encode language meaning to tokens (think words). These can be very useful for calculating linguistic comparison. So, while “5” and “five” share no characters in common, they are very close in linguistic meaning. So, we can use this information to link records together.

How do you see the future of data management evolving, especially with advancements in AI and machine learning?

The “Big Data” era of the early 2000s should be remembered as the “Small Data” era. While a lot of data has been created over the past 20+ years, enabled by the commoditization of storage and compute, the majority of data that has had an impact in the enterprise is relatively small scale — basic sales & customer reports, marketing analytics, and other datasets that could easily be depicted in a dashboard. The result is that many of the tools and processes used in data management are optimized for ‘small data’, which is why rules-based logic, supplemented with human curation, is still so prominent in data management.

The way people want to use data is fundamentally changing with advancements in AI and machine learning. The idea of “AI agents” that can autonomously perform a significant portion of a person’s job only works if the agents have the data they need. If you’re expecting an AI agent to serve on the frontlines of customer support, but you have five representations of “Dell Computer” in your CRM and it’s not connected with product information in your ERP, how can you expect them to deliver high-quality service when someone from Dell reaches out?

The implication of this is that our data management tooling and processes will need to evolve to handle scale, which means embracing AI and machine learning to automate more data cleaning activities. Humans will still play a big role in overseeing the process, but fundamentally we need to ask the machines to do more so that it’s not just the data in a single dashboard that is accurate and complete, but it’s the majority of data in the enterprise.

What are the biggest opportunities for businesses today when it comes to leveraging their data more effectively?

Increasing the number of ways that people can consume data. There’s no question that improvements in data visualization tools have made data much more accessible throughout the enterprise. Now, data and analytics leaders need to look beyond the dashboard for ways to deliver value with data. Interfaces like internal 360 pages, knowledge graphs, and conversational assistants are being enabled by new technologies, and give potential data consumers more ways to use data in their day-to-day workflow. It’s particularly powerful when these are embedded in the systems that people already use, such as CRMs and ERPs. The fastest way to create more value from data is by bringing the data to the people who can use it.

Thank you for the great interview, readers who wish to learn more should visit Tamr.

[prokopetz]

So here I'm thinking I must be doing something wrong because I can't figure out how to make this UI dingus I'm working on do what it needs to do without generating two AJAX requests rather than one, then for the sake of comparison I load up an allegedly best-in-class enterprise CRM to see how it's handled there, and discover that an equivalent operation somehow manages to hit the server seventy(!) separate times, and you know what? I think I might actually be on the right track.

[whateverisbeautiful]

Part of the epic reunion in TWOL was driven by after almost 8 years apart, Rick nor Michonne moved on and the yearning for their soulmate persisted despite all the barriers. Are there scenarios that you could imagine where both experiment with intimacy or a different type of connection and still find their way back to one another? I’m not imagining a love triangle but something like Siddiq and Michonne having a brief moment (instead of what played out with him and Rosita) deeper than great friendship ? Other thoughts?

Thank you for asking. 😊 While I think there isn't much that could stop Rick and Michonne from finding their way back to each other, I can't imagine a scenario where they try to briefly experiment with intimacy with other people. And I am super super glad that they didn’t enter into anything romantic with anyone else. To me, Rick and Michonne not moving on with anyone else in any way was the absolute right choice for those characters.

By spending all those years yearning only for each other, it really hammered home how profound Rick and Michonne’s connection is. To the point that even when they had to seriously consider that they may never see each other again they still wanted to spend the rest of their life committed to and in love with one another. I love that they both waited for each other for years and operated every day like they were still actively married.  

It also feels so full circle that both of them stayed so loyal to each other after their experiences with their past partners. They were let down immensely by Mike and Lori while they were away for a far briefer time. Michonne went on a run and Mike couldn’t keep their son alive when she was away. And Rick was in a coma for a few months and Lori had already fallen for and got pregnant by Shane. So it means a lot that now, even with their prolonged distance, Rick and Michonne get to see just how special they are to their partner and how loyal their partner wants to be to them, even when the time spent apart is not just a run or a few months, but nearly a decade.

I have pictured a scenario where during the post-Rick era of TWD, Judith asks Michonne if she’d ever date or let a new man in and she basically tells Judith that the few years with her dad were better than a lifetime with anyone else. I feel like that was both Rick and Michonne’s mentality. 

But while I would not have wanted to watch either Rick or Michonne explore new romantic relationships even if brief, it would have been interesting to see others take an interest in them. Because as beautiful as they are inside and out it’s just realistic that people would be interested in them, even tho they'd all get turned down. I think more men should have and would have tried to pursue Michonne during those six or seven years. And I just know that around the CRM, Rick was known as the hot man who doesn't talk to anybody. In TOWL, I did want to see how both Michonne and Rick would react to some guy in the CRM hitting on Dana.

Overall tho I’m just really grateful for how TOWL confirmed that what Richonne has is no ordinary love. I think they both knew any connection with someone new would greatly pale in comparison to what they found with each other because Rick and Michonne’s irreplaceable connection really is the epitome of deeply intertwined soulmates.

[realtorone666]

Dubai’s Top Realtors Don’t Just Sell... They Think Differently

In Dubai’s glittering skyline of opportunity, where real estate is more competitive than ever, some agents are consistently at the top. They’re closing deals in iconic towers, landing luxury listings in Palm Jumeirah, and building networks that seem impenetrable.

But what if I told you their edge has less to do with hustle and more to do with headspace?

While most realtors are stuck comparing CRM tools, hunting leads, or obsessing over cold call scripts, Dubai’s top-performing agents are playing a very different game—a mental one.

The Invisible Game: Mindset Over Mechanics

Let’s be honest. Every realtor today has access to similar tools, listings, and opportunities. Yet only a small fraction truly thrive. The difference isn’t luck—it’s how they think.

Top realtors aren’t just grinding harder—they’re thinking sharper. They’ve learned to manage their energy, protect their focus, and prime their minds to expect success.

They don’t wake up overwhelmed; they wake up aligned.

They don’t enter meetings desperate to close; they walk in already knowing their value.

They’ve developed mental rituals that center them in clarity, not chaos. And this subtle shift is often the only thing separating a high-value deal from a missed opportunity.

They understand that success in Dubai’s real estate isn’t just about having leads—it’s about having the belief that you’re the one who can convert them.

Comparison Kills Confidence

Everyday realtors scroll through social media and see their peers posting sold signs and luxury listings. And slowly, a dangerous seed is planted:

“Why them, not me?”

This comparison trap erodes confidence. You begin questioning your skills, your effort, your worth. But what if the real reason isn’t that you’re lacking—it’s that your mindset is misaligned?

Realtors who break out of this loop are the ones who stop looking outward for validation and start mastering their internal world.

Rituals that Separate the Top 1%

Success leaves clues, and in the case of Dubai’s elite realtors, those clues are often in their daily rituals:

Morning Visualization: Picturing successful meetings, confident closings, and joyful client handshakes before the day even starts.

Belief Work: Actively working to dissolve limiting beliefs like “I don’t deserve this” or “I’m not experienced enough.”

Energetic Alignment: Maintaining a state of calm certainty rather than reactive anxiety.

This isn’t about being fake or overly positive. It’s about training your nervous system and subconscious mind to see success as normal—not as a lucky accident.

Enter: Realtor One – The Shift Behind the Scenes

Most coaching programs will teach you scripts and strategies. Realtor One goes deeper.

It’s a mindset-first transformation program designed specifically for real estate professionals operating in Dubai’s luxury property space.

We help realtors shift their internal identity—from feeling like an imposter… to embodying the energy of a confident closer.

Because when you change your identity, your results change too.

You stop chasing clients. You stop fearing rejections. You stop second-guessing yourself.

You start closing from belief, not burnout.

Real Agents. Real Shifts.

One of our Realtor One clients, a young agent representing EMAAR properties, came into the program feeling overwhelmed. She had the listings, the leads, the knowledge—but couldn’t close.

Within weeks, everything shifted. Why? She finally believed she belonged in those high-ticket rooms. Her confidence became her strategy.

“RealtorOne didn’t just make me better at sales—it made me better at being me. And that was the breakthrough.”

It’s Time to Think Like a Closer

You don’t need more hacks. You need a higher level of thinking.

If you’ve ever felt like something’s missing… like you’re this close to a breakthrough… it’s probably not your tactics. It’s your subconscious alignment.

Realtor One Program isn’t about doing more—it’s about doing it from the right mindset.

So stop watching other realtors win from the sidelines. Start thinking—and closing—like they do.

👉 Book your free 15-minute clarity call with RealtorOne now.

Let’s make your next deal the easiest one yet—not because you got lucky, but because you got aligned.

Why Most Realtors Plateau Without Knowing It

It’s not always obvious when a mindset plateau hits. You might still be booking meetings, posting on Instagram, and getting views—but the results feel flat. That’s because at a subconscious level, your identity hasn’t caught up to the version of you who earns consistent high-ticket commissions.

Without belief upgrades, your performance stagnates. With them, even ordinary days become closing days.

The Confidence Gap Is Real

Most realtors aren’t failing because of lack of knowledge. They’re failing because of a confidence gap. They hesitate at the moment of closing, underprice their value, or avoid premium clients out of fear of rejection.

Confidence isn’t something you wait to feel—it’s something you build. And RealtorOne is where that construction begins.

You Can’t Fake Energy

Clients feel it. Whether you’re anxious or aligned. Whether you’re second-guessing yourself or walking with certainty.

Dubai’s real estate market is fast, smart, and energetic. Your inner world needs to match that. When your energy leads, words follow. Clients say yes faster. They refer more. They trust deeper.

What You Think, You Sell

Your belief becomes your business. If you think small, you sell small. If you expect rejection, you’ll attract it. But if you start thinking like a top producer—aligned, grounded, powerful—your results reflect that.

RealtorOne teaches you to think at the frequency of success. And when you do, every interaction becomes a closing opportunity.

Start thinking like Dubai’s top realtors. Because they don’t just sell differently… they think differently.

👉 Apply now for the Realtor One Program and build the mindset your success deserves.

[setupedia]

Go High Level vs WordPress: Which Website Platform is Better ?

When it comes to building websites and managing your business, GoHighLevel and WordPress are two platforms that stand out. WordPress is a widely-used content management system (CMS) known for its flexibility and vast ecosystem of plugins. Meanwhile, High Level offers an all-in-one solution that integrates website building, CRM, marketing automation, and more. Here’s a detailed comparison to help…

[vastedge330]

Discover the ultimate comparison between Oracle Sales and Salesforce Sales Cloud in 2024. Uncover how Oracle’s robust ERP integration caters to large enterprises seeking deep functionality, while Salesforce offers a flexible, scalable, and user-friendly CRM for businesses focused on quick implementation. Learn about key features like lead management, sales analytics, customization, and pricing to make an informed decision based on your business goals and growth strategy.

[inwizardstechnologies]

How much does Odoo developer cost per hour? — Inwizards

Odoo is a powerful, open-source business management software suite that offers a wide range of applications for various business needs, including customer relationship management (CRM), e-commerce, accounting, inventory management, and more. As a business owner or decision-maker, understanding the Odoo developer cost per hour is crucial for budgeting and ensuring the success of your projects.

Factors Affecting Odoo Developer Cost

There are several factors affecting the cost of hiring an Odoo developer which includes::

Experience and Expertise

The experience and expertise of an Odoo developer is one of the most significant factors that influence their cost per hour. Developers with a proven track record and extensive knowledge of the Odoo platform typically charge higher rates. Their expertise can ensure smoother project execution and fewer errors, ultimately saving time and money in the long run.

Project Complexity

The complexity of your Odoo project can greatly impact the hourly cost. Projects that require customizations, integration with other systems, or the development of complex modules may demand higher hourly rates. It’s essential to assess the complexity of your project accurately to budget accordingly.

Geographic Location

The location of your developer is another important determinant of the cost per hour. If you hire Odoo developers in Western countries such USA, Denmark, Germany, UK, etc. then they might charge higher rates compared to those in Eastern Europe, Asia, or other regions. However, to reduce your Odoo software development cost and maintain the quality, it’s crucial to strike a balance between cost and quality. The Developers from lower-cost regions like India, are also skilled and experienced and can provide excellent services.

In-House vs. Outsourcing

Deciding whether to hire an in-house Odoo developer or outsource the work to a development agency can significantly impact costs. In-house developers may have higher monthly salaries and additional overhead costs, while outsourcing can offer more flexibility and potentially lower hourly rates.

Average Odoo Developer Hourly Rates

Understanding the average hourly rates for Odoo development services can help you establish a realistic budget. On a global scale, Odoo developers may charge anywhere from $20 to $150 per hour. The specific rate depends on the factors mentioned earlier, with experienced developers and those in high-cost regions commanding the higher end of the spectrum.

Regional variations also play a substantial role in cost differences. For instance, a developer with 5+ Years of experience in North America or Western Europe typically charges more in comparison with Eastern Europe, Asia, or South America. Assessing the rates in your region is crucial for accurate budgeting.

Ways to Optimize Odoo Development Costs

While Odoo development costs are a significant consideration, there are several strategies to optimize and manage your expenses effectively:

Effective Project Planning

Thorough project planning can help identify potential cost-saving opportunities. Clearly define project requirements and goals, which can prevent scope creep and unnecessary expenses during the development process.

Choosing the Right Odoo Developer

Invest time in finding the right developer or development team for your project. Look for professionals with relevant experience, and consider outsourcing if it aligns with your budget constraints.

Open Source Solutions

Leveraging open source Odoo modules and solutions can significantly reduce development costs. These pre-built Odoo modules can be customized as per your specific business needs. It will save your time as well as reduce your Odoo Software development cost.

Long-Term Savings

Consider the long-term benefits of your Odoo development project. While hourly rates are important, a project that’s executed effectively can yield substantial savings through improved efficiency and increased revenue.

Real-World Examples

To provide a clearer picture of Odoo development costs, here are a couple of real-world examples:

Case Study 1: E-commerce Integration

A small e-commerce business based in Eastern Europe hired an experienced Odoo developer for $40 per hour. The project involved integrating their online store with the Odoo platform. Despite the hourly rate, the project was completed efficiently before the pre-defined time, which led to a 30% increase in sales within the first year.

Case Study 2: Custom Module Development

A medium-sized manufacturing company in North America opted to hire a local Odoo developer for $100 per hour to create custom modules for inventory management. While the hourly rate was higher, the project was executed flawlessly, resulting in a 20% reduction in operational costs within six months.

Conclusion

In conclusion, understanding how much an Odoo developer costs per hour is a vital part of your project’s success. While hourly rates can vary significantly, it’s essential to balance cost with expertise and project requirements. By effectively planning your project, choosing the right developer, and considering long-term savings, you can optimize your Odoo development costs while ensuring a successful outcome.

FAQs of Odoo developer cost

1. Is it better to hire an in-house Odoo developer or outsource the work?

The choice between hiring in-house or outsourcing depends on your specific needs and budget. In-house developers offer more control but may be costlier, while outsourcing can provide cost savings and flexibility.

2. Are there any open source Odoo modules available for businesses?

Yes, there are numerous open source Odoo modules that can be customized to suit your business needs. They offer a cost-effective way to extend the functionality of your Odoo system.

3. How can I assess the complexity of my Odoo development project accurately?

To assess project complexity, consider factors such as the number of customizations, integrations, and unique requirements. Consulting with an experienced Odoo developer can help you gauge the project’s complexity.

4. What is the typical duration of an Odoo development project?

The duration of an Odoo development project can vary widely based on the project’s complexity. Simple projects may take a few weeks, while more complex ones could span several months.

5. Can I negotiate hourly rates with an Odoo developer?

Yes, you can often negotiate hourly rates with developers. However, keep in mind that experienced developers may have set rates based on their expertise and the quality of their work.

Originally published at https://www.inwizards.com on October 26, 2023.

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QuickBooks vs Sage: A Comprehensive Comparison for Small Businesses

Introduction

As a small business owner, choosing the right accounting software can be a daunting task. With so many options out there, it's hard to know which one is the best fit for your needs. Two of the most popular options on the market are QuickBooks and Sage. But how do they compare?

In this QuickBooks vs Sage comprehensive comparison, we'll take a look at both QuickBooks and Sage's features, pricing, pros and cons to help you make an informed decision about which software is right for your small business. So let's dive in!

QuickBooks Overview

QuickBooks is one of the most popular accounting software solutions for small businesses. It was developed and marketed by Intuit, a company that specializes in financial and tax preparation software. QuickBooks is known for its user-friendly interface and extensive features that cater to various business needs.

One of the key benefits of using QuickBooks is its ease of use. The software can be easily installed on your computer or accessed through the cloud-based version, making it accessible anytime, anywhere. Additionally, QuickBooks has a simple dashboard that allows users to track their expenses, income, and profits with just a few clicks.

Another great feature of QuickBooks is its ability to integrate with other applications such as PayPal and Square. This integration makes it easier for businesses to manage their finances without having to switch between multiple platforms.

Moreover, QuickBooks offers several versions tailored to suit different types of businesses including self-employed individuals, small business owners and accountants who work with multiple clients at once. These versions come with varying features such as invoicing capabilities, inventory management tools among others.

If you are looking for an accounting solution that offers easy accessibility combined with extensive functionality then QuickBooks could be the perfect fit for you.

Sage Overview

Sage is another popular accounting software that caters to small and medium-sized businesses. It offers a variety of features that help in managing finances, invoicing customers, and tracking expenses.

One of the key advantages of Sage is its flexibility. It provides users with various customization options to tailor the software's interface according to their needs and preferences. Additionally, it has an intuitive dashboard that displays all important financial information at a glance.

Apart from standard accounting functionalities like bookkeeping and bank reconciliation, Sage also offers advanced inventory management features such as order fulfillment tracking and automated reordering.

Another notable aspect of Sage is its integration capability with other business tools like Microsoft Office 365, Salesforce CRM, and Shopify eCommerce platform. This allows for seamless data exchange between different software applications used by businesses.

Sage is a robust accounting solution suitable for businesses looking for advanced features beyond basic bookkeeping. Its customizable interface and integration capabilities make it stand out among competitors in the market.

QuickBooks vs Sage Feature Comparison

When it comes to comparing QuickBooks vs Sage, one of the most important things to look at is their features. Both software solutions offer a range of tools and functions that can help small businesses manage their finances effectively.

QuickBooks has always been known for its strong focus on accounting features. It offers a comprehensive suite of tools designed to handle everything from invoicing and billing to expense tracking and payroll management. In addition, QuickBooks also provides robust reporting capabilities that enable business owners to get insight into the financial health of their company in real-time.

On the other hand, Sage boasts an impressive array of specialized features that cater specifically to certain industries such as construction, manufacturing, or distribution. These industry-specific functionalities allow businesses operating in these sectors to streamline operations by automating tasks like inventory tracking or job costing.

While both platforms have plenty of useful features for small businesses, it's important to consider which ones are more relevant based on your specific needs. Take some time to evaluate your business requirements before making a decision between QuickBooks vs Sage.

QuickBooks vs Sage Pricing Comparison

When it comes to pricing, both QuickBooks and Sage offer a range of plans that cater to different business needs and budgets. However, there are some notable differences between the two.

QuickBooks offers four main pricing plans: Simple Start, Essentials, Plus, and Advanced. Prices start at $25 per month for Simple Start and go up to $180 per month for Advanced. Each plan includes features like invoicing, expense tracking, and basic reporting tools.

On the other hand, Sage has three main pricing tiers: Accounting Start ($10/month), Accounting ($25/month), and Accounting Premium ($71.67/month). While these prices may seem lower than QuickBooks' offerings on the surface level, it's important to note that each tier is limited in terms of features compared to what QuickBooks offers.

Additionally, both QuickBooks and Sage offer add-ons such as payroll processing or inventory management for an additional cost. It's important for businesses to carefully consider their needs when deciding which plan is right for them.

Ultimately, while there are differences in price between the two platforms depending on your business size and needs; finding out which one works best will depend entirely upon your specific budgeting goals as well as overall objectives

Pros and Cons

When comparing QuickBooks and Sage, it's important to consider the pros and cons of each software. First, let's take a look at some of the advantages of using QuickBooks.

One of the major benefits of QuickBooks is its user-friendly interface. Even if you are not an accounting expert, you can easily navigate through this software. It has a simple dashboard that provides a clear overview of your financial records. Also, it offers robust features such as invoicing, expense tracking and payroll management.

On the other hand, Sage also has its own set of pros. One advantage is its customization capability which allows users to tailor-fit their accounting processes based on their business needs. Additionally, Sage enables multi-user access which supports collaboration among team members in real-time.

However, there are also some cons to consider for both software options. For example, QuickBooks may be too basic for larger businesses with more complex accounting requirements while Sage may have a steeper learning curve compared to other accounting platforms.

Ultimately, deciding between QuickBooks or Sage will depend on your business size and specific needs when it comes to bookkeeping and accounting processes.

Conclusion

After weighing the advantages and disadvantages of QuickBooks vs Sage, it is evident that both software programs have their unique features and benefits. Ultimately, the choice between them depends on a business's specific needs.

QuickBooks is an excellent choice for small businesses looking for easy-to-use bookkeeping software with robust accounting features, mobile accessibility, and affordable pricing options. On the other hand, Sage offers more extensive customization options and advanced reporting capabilities.

Before making any decision about which bookkeeping software to use in your business, you should conduct thorough research into each program's features. However, regardless of which option you choose; investing in either QuickBooks or Sage will give your small business a competitive edge when it comes to managing finances effectively.

[f1]

Lando Norris: Driving McLaren's Revival | F1 Beyond The Grid Podcast presented by Salesforce

2023 has been one of Lando Norris’ most challenging Formula 1 seasons so far. McLaren have simply not had the race pace to challenge their rivals for podiums. But Lando’s impressive P4 at the Austrian Grand Prix may be a sign of better things to come during the rest of the year. In a candid conversation with Tom Clarkson, it’s clear how committed Lando is to winning with McLaren in the future. He talks about the extra pressure and responsibility of being the team’s senior driver and how the fans make a huge difference to his performance at the British Grand Prix. Lando also discusses coping with fame, dealing with criticism, and even what kind of dad he hopes to be one day. Plus, hear how new teammate Oscar Piastri compares to his predecessor Daniel Ricciardo. This episode is brought to you by Salesforce, Official CRM Technology Partner of Formula 1. Visit Salesforce.com/F1 to learn more about how Formula 1 wows fans and grows its global fanbase with Salesforce. 02:51 – All smiles at Silverstone 15:00 – McLaren’s season so far 20:11 – Chasing a win 28:54 – Coping with fame 33:05 – Handling criticism 38:00 – Piastri/Ricciardo comparisons For more F1® videos, visit https://www.Formula1.com Follow F1®: https://www.instagram.com/F1 https://www.facebook.com/Formula1/ https://www.twitter.com/F1 https://www.twitch.tv/formula1 https://www.tiktok.com/@f1 #F1 #F1BeyondTheGrid via FORMULA 1 https://www.youtube.com/channel/UCB_qr75-ydFVKSF9Dmo6izg

[daveedmee]

From the Streets to the Boardroom: What recreational drug use taught me about B2B marketing

Recreational drug use and B2B marketing might seem worlds apart, but both involve understanding human behavior, creating loyalty, and navigating complex systems. Here are the lessons I’ve drawn from this unconventional comparison:

1. Know Your Audience

Drug dealers succeed because they deeply understand their customers' needs—whether it’s convenience, discretion, or emotional connection. Similarly, in B2B marketing, knowing your client’s pain points and tailoring solutions to their specific challenges is crucial. Just as a dealer builds trust through personalized service, marketers can build long-term relationships by addressing customer-specific needs.

2. Create Loyalty Through Value

Drug dealers often use strategies like discounts for bulk purchases or free samples to keep customers coming back. In B2B marketing, offering value beyond your product—such as educational content or exclusive events—can foster loyalty. Think of the “High School Party” strategy in B2B: creating spaces where clients feel valued and part of a community.

3. Adaptability Wins

The ability to pivot is key in both domains. Dealers often adjust their offerings based on market demand or legal crackdowns. Similarly, B2B marketers must remain agile, adapting strategies to industry trends and client feedback. Whether it’s leveraging LinkedIn ads or hosting niche podcasts, flexibility ensures relevance.

4. Build Systems That Scale

Successful drug operations often function like well-oiled businesses—streamlined logistics and empowered employees ensure efficiency. In B2B marketing, scalable systems like CRM tools or automated campaigns help manage growth while maintaining quality.

5. Ethics Matter

While drug trade thrives on exploitation, ethical considerations are paramount in marketing. Transparency and responsible practices build trust and credibility in B2B relationships—a stark contrast to the darker lessons from the drug world.

By reflecting on these parallels, we can uncover unconventional insights that drive success in B2B marketing while staying grounded in ethical practices.

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