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10 Best ERP Software for Your Company in 2022

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10 Best ERP Software for Your Company in 2022

An enterprise resource planning (ERP) system is a software application that automates business processes and provides insights and internal controls. This is accomplished by using a centralized database that consolidates data from several departments, including accounting, supply chain, manufacturing, marketing, sales, and human resources (HR). Moreover, a comprehensive ERP system contains corporate performance management software, enabling firms to plan, budget, forecast, and report on their financial results.

Amid the growing number of ERP vendors, you may find it increasingly challenging to select the right ERP software for your company. There are numerous factors to consider in order to avoid choosing the incorrect one. Therefore, we’ve carefully summarized the following ten best ERP software options.

Also read: Advantages of ERP System for Operational Business

What is the Best ERP Software?

As we stated above, there are various ERP software available, but the following are the best ones on the market right now.

1. HashMicro

HashMicro Singapore is a leading ERP software provider that recognizes the importance of enterprises’ productivity and efficiency. It is a cloud-based ERP solution that can be integrated with various other systems, including accounting, inventory, CRM, sales, procurement, and HRM. HashMicro has served more than 350 clients across fifteen industries, ranging from F&B, Manufacturing, Retail, Construction, Trading, and more. Most importantly, HashMicro is committed to product innovation and constant improvement.

Key Features:

●Data Management: HashMicro can easily and securely manage your entire company data. From the financial, employee, and other important information, all of your company data will be kept with the best security system. At the same time, people who have authority can access those data anytime and anywhere.

●Integrated System: HashMicro can assist you in improving divisional collaboration. This is achievable since all components are integrated. With that, you can also make the best decisions possible using precise and real-time data from each division.

●Software Configuration: HashMicro can be customized to meet each business’s specific requirements and apply to a wide variety of industries.

2. Syspro

Syspro’s business model is based on three principles: be future-proof, provide specific solutions, and ease the use of their ERP software. With Syspro’s expertise in distribution and manufacturing, businesses in Singapore can receive the right tailor-made solution to move their business forward. They ensure that their system can also quickly adapt to changes in operations, such as growing your business’s growth.

3. Epicor

Epicor is a cloud-based ERP software provider in Singapore. It enables organizations to scale, grow, and innovate without interfering with their day-to-day operations. Epicor offers a comprehensive suite of business management systems, including customer relationship management (CRM), human resource management (HRM), and supply chain management (SCM).

4. Synergix Technologies

Synergix Technologies was founded in 1990 and provided comprehensive ERP software for various business needs. They can offer an integrated and fully configurable ERP solution on any server and operating system with ease of maintenance. Furthermore, they assure your operations and business can be run entirely through their cloud-based ERP solution.

Also read: 5 Best ERP Software Package in Singapore

5. Acumatica

Acumatica enables developing small and mid-market businesses to achieve operational flexibility, continuity, and efficiency. It also can integrate seamlessly with your preferred collaboration tools. Acumatica’s core product is well regarded in the accounting, finance, and some industry sectors.

6. Oracle NetSuite

NetSuite was founded in 1998 and is based in California, United States. Oracle acquired NetSuite in July 2016 to establish Oracle NetSuite. Businesses use NetSuite for inventory management, human resource management, financial monitoring, and customer relationship management. Furthermore, this customizable platform is mobile-friendly; users can access it from the Google Playstore on Android-based devices.

7. Odoo

This system integrates modules for manufacturing, sales, accounting, project management, customer relationship management, and warehouse management. Odoo comprises around 30 primary updated modules to maximize collaboration and information exchange between employees. Due to its open-source design, this software is straightforward to adjust to meet specific business demands.

8. Zoho

While other businesses view marketing as vital for customer acquisition, Zoho is different. This Indian company prioritizes product development and customer service to deliver the most satisfactory service possible. This business model successfully drove Zoho to the level it had never anticipated. This is why Zoho’s loyal clients trust the company such as Facebook, Amazon, Netflix, and Suzuki.

9. SAP

SAP (System Application and Product) consists of a collection of integrated modules and serves as an automated tool. The tools include management, planning, monitoring, and production in a company. This software can automate all monitoring tasks and present data in real-time, enabling it to make business decisions quickly and precisely following established goals.

10. Sage

Sage ERP software enables real-time business analytics, supply chain management, financial management, and industry-specific solutions for distribution, manufacturing, professional services, and construction businesses. Sage 50, Sage 100, Sage 300, and Sage X3 are among their ERP products. Each Sage product is tailored to a specific type of business and has unique features.

Conclusion

To automate and consolidate their business functions, companies may find a problem choosing the right ERP software for them. Our list of recommendations above is intended to assist you in selecting the available options so that you can implement the best ERP software for your company. We want to help you further by providing a free consultation that you can get by filling out the form and contacting our customer service. We look forward to hearing from you!


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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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