Category: SaaS

DevelopmentInsightsSaaS

Answered: Your Most Burning Questions About Salesforce

Whether you are looking for a Salesforce app to use in a business operation or you want to make a position in the Salesforce world, you need to understand what Salesforce offers and what it does to help you win more customers.  Being a pioneer in Salesforce, people, experienced or fresher, come to us with so many questions regarding the utility, features, and technicalities of Salesforce. Through this post, I have answered a few repetitive questions that Salesforce enthusiasts continuously ask us.  

What are the benefits of Salesforce CRM?

The topmost benefits of Salesforce CRM are:

  • You get more opportunities to increase your sales
  • The use of the analytical approach to ensure customer acquisition.
  • Minimizing the cost to improve customer satisfaction.
  • The complete automation of repetitive tasks.
  • Upfront communication with improved efficiency

To unlock these benefits, you need to master the concepts and aspects of this CRM tool, which Salesforce training can help you achieve.

What are Salesforce’s custom objects?

Salesforce.com contains all enterprise-level data.  There is a requirement for Junction Object, which has a master-detail relationship. This allows you to create a master-detail relationship between two objects and plug in a child object to a related list.

You need to define these custom objects if you want to take the following steps.

  • Integrate records with custom objects.
  • Custom lists display the custom object data
  • Build a custom tab for a custom object.
  • Developing page layouts.
  • Developing a dashboard & report to evaluate custom object.
  • You can share the custom tab, app and object.

What are Governor Limits in Salesforce?

Governor Limits controls the volume of data and the number of records you can store in shared databases. This is because Salesforce is designed on the basis of multi-tenant architecture. Simply, Salesforce stores the data of multiple clients/ customers using a single database.

To avoid the monopolization of shared resources, Salesforce is driving the concept of Governor Limits based on the Apex run-time engine.

Whenever the Apex code goes beyond the limit, a run-time exception is what the expected governor issues that are not possible to handle. Therefore, being a Salesforce developer, stay cautious while developing your application.

The governor Limits of Salesforce are:

  • Per-Transaction Apex Limits
  • Force.com Platform Apex Limits
  • Static Apex Limits
  • Size-Specific Apex Limits
  • Miscellaneous Apex Limits
  • Email Limits
  • Push Notification Limits

What can cause data loss in Salesforce?

Reasons responsible for Data loss in Salesforce are:

  • Changing date and time as well as data
  • Moving to currency, number, and percentage from other data types
  • Shifting from the multi-select picklist, checkbox, auto number to other types
  • Changing to multi-select picklist from any type rather than picklist
  • Moving to auto-number except for text
  • Taking advantage of text-area for e-mail, phone, URL, and text

What are the different dashboard components?

The different Dashboard components are:

Chart: A graphical representation of data.

Gauge: You can display a single value amongst custom values.

Metric: You can show a sole key value – By clicking on a blank text field next to total and then entering the metric label straight into components. All metrics are correctly aligned in the console column.

Table: Display report data in column form using the Table.

Visual force-This helps generate custom component or showcase info not accessible to other sections.

Custom S – component: It involves the content that runs or exhibits a browser like Excel file, Java applet, ActiveX Control and custom HTML web form.

Can you explain the details of Salesforce SaaS functionality?

The important features of Salesforce SaaS functionality are:

  1. You get a pay-as-you-go framework that resonates well with all clientele.
  2. You don’t need to bother about substructure management.
  3. Retrieval of all requests via the internet.
  4. Easy to integrate along with numerous applications.
  5. Uncover newest features without any postponement.
  6. High uptime and safety.
  7. Excellent presentation for various operations.
  8. Connect anywhere through mobile devices

If you know about CRM, you must have heard of Salesforce. It offers robust customer relationship management software, which performs real-time analytics by evaluating customers’ data. It has become a need of the hour to meet the requirement of the client end to end.

DevelopmentSaaS

Top 3 Machine Learning trends in 2018

Machine Learning has been growing at an incredible pace in 2017. We’ve witnessed many breakthroughs such as AlphaGo beating the best world’s Go players, the comeback of evolution algorithms meta-learning, or WaveNet generating speech that mimics any human voice. Deep Learning research has been skyrocketing since 2012, and it’s not going to stop. Carlos Perez – Co-Founder of Intuition Machine – predicts that the number of research papers related to Deep Learning will triple or even quadruple in 2018!

 

The beginning of the third quarter of 2018 seems like a good time to take a closer look at the top Machine Learning trends in 2018.

 

Generative Models

One of the core goals for AI is to understand the world as a human does. In order to understand the world, one is required to build meaningful representations of abstract concepts. In particular, generative models are very good at this task. There’s nice intuition behind this taken from Richard Feynman who said:

 

What I cannot create, I do not understand  

 

Since their introduction in 2014, Generative Adversarial Networks (GANs) are probably the hottest topic in unsupervised learning research, along with Variational AutoEncoders. A GAN is a generative machine learning model that consists of two neural networks: a generator and a discriminator. During training, the generator tries to generate realistic samples, while the discriminator needs to determine whether they’re fake or real. As the training proceeds, both the generator and the discriminator get better at their tasks. In the end, the generator is capable of generating data that looks like the real thing. GANs have a lot of interesting applications, such as an image to image translation, or improving the quality of low-resolution CT scans.

 

The classic problem with GANs is that they are really good at generating synthetic images in a bunch of different domains, but they struggle to model aspects of images that require the understanding of the whole, like getting the number of animal legs right.

 

Recently the father of GANs, Ian Goodfellow, has published a work on Self-Attention Generative Adversarial Networks (SAGAN). Introducing a self-attention module to the generator resulted in generating images in which fine details at every location are carefully coordinated with fine details in distant parts of the image.

 

There are already almost 4000 papers on Google scholar related to GANs this year, and there’s much more to come!

Interpretability

Many machine learning models, for example, Deep Neural Networks, are considered to be black boxes. However, the typical end-user of machine learning based system prefers solutions that are interpretable and understandable. For example, you may ask yourself if you would trust a neural network diagnosing cancer without explaining its reasoning. Would you choose an AI doctor with 85% accuracy that can explain its reasoning or an AI doctor with 90% accuracy that cannot?

 

Interpretability of machine learning models seems to be crucial for applications in healthcare or law. Last but not least, machine learning engineers benefit a lot from interpretable models, as it’s much easier to validate and improve them.

 

Again, we can borrow an intuition from Richard Feynman who said:

 

If you can’t explain something in simple terms, you don’t understand it

 

We can notice an increasing amount of research in the area of explaining machine learning models. One may distinguish model-agnostic methods and model-specific methods for explaining machine learning models. For example, LIME is a simple technique that uses local linear approximation via K-Lasso regression to provide model-agnostic explanations. You can find a Python implementation of LIME on GitHub. There are a lot of techniques for producing visual explanations for Convolutional Neural Networks, such as saliency maps. If you’re interested, I strongly recommend this compiled list of resources on interpretability by Michał Łopuszyński.

 

Edge Computing

The Internet of Things is going to revolutionize our world. All of these devices, such as mobile phones, beacons or Raspberry Pis, are able to provide tons of data. However, IoT alone is not smart technology. On the other hand, machine learning is fueled by data. These incentives are crucial for machine learning meeting edge computing.

 

There are several advantages for running machine learning applications on edge devices. Firstly, we can highly reduce latency when communication with the cloud is not required. It’s possible because of several reasons, such as hardware improvements, software improvements, and last but not least – compact deep learning architectures without losing a lot on accuracy (MobileNet v2). For example, MobileNet’s forward pass only takes about 20 milliseconds on the newest iPhones.

One cannot omit the importance of the existence and development of frameworks such as CoreML and TensorflowLite. Currently, it’s very easy to implement, train and evaluate a model in one of Python’s Deep Learning libraries and latter deploy it on an Android device or an iPhone.

 

Privacy has always been an important concern on the Internet, and it seems that this year this is truer than ever. Machine Learning algorithms cannot be trained without data. However, if you train a machine learning model on an edge device, your data doesn’t need to leave it.

 

And last but not least, since Deep Gradient Compression has been introduced at ICLR 2018, distributed training on many edge devices seems to be possible on 1Gbps commodity Ethernet.

Guest post by Mateusz Opala, Machine Learning Tech Lead at Netguru

SaaS

Measures that determine the success of CRM performance – The screw gauge for KPIs

Peter Drucker rightly said, if you can’t measure it, you can’t manage it! Nowadays more and more organizations are increasingly focusing on quantifying the CRM performance to enhance the level of customer experiences and to better handle organizational data. CRM indeed provides a significant return on investment. However many companies fail to quantify it. This is where the CRM software with its analytics engine can help measure performance so that your business does not land on the unpaved runway!

So, how does one measure CRM performance? Don’t worry! Let’s slice through the royal cake.

CRM performance can be measured through balanced scorecards, value driver analysis, customer knowledge management and ROIs. It gets quite technical from here! I feel you. I will try my best to simplify it.

Balanced scorecards!

The balanced scorecard was developed by Robert Kaplan and David Norton. It is one of the foremost measurement tool used by highly successful management firms to align business activities to the vision and strategy of the firm. Robert and David analyzed many successful businesses and found out that all those successful businesses had one thing in common. They had a clear vision and strategy aligned with key areas such as finance, customer service and internal operations.

The balanced scorecards allow decision makers to view businesses from 4 different aspects.

They are:

How businesses view stakeholders in terms of financial aspects?

Are the businesses providing value from a customers’ point of view?

From an internal process point of view,

Are the business operations aligned with the company goals and values?

And finally from a learning and growth perspective,

Is the company providing the right training for its employees?

These aspects create a roadmap for analyzing and understanding smaller objectives within the larger framework.

As the famous Occam’s razor principle states “the simpler one is usually better.” So, the balanced scorecard helps businesses to focus on smaller things so more can be achieved!

In case you were wondering, this is the secret formula for businesses.

 

Value driver analysis

This is the second layer of the royal cake! The concept of value driver analysis was developed by DuPont several years ago. This is the extension of the infamous money flow analysis which allows companies to take more informed decisions thereby improving their day to day operations.

This hits you hard on the face!

Yes. Literally speaking, this method helps enterprises understand the value of a project. The value may have a strong impact on the organization’s finance or it may create a lasting impression on the society. The variables are usually controlled by the project management team who create a “driver tree’’ to map out the major drivers of value.

For example, for a stadium construction project, the seating capacity can be a major point of focus. The key value drivers for the seating capacity may include public transport, location, and ticket prices.

Customer Knowledge Management

It refers to the mechanisms and procedures used by the company to record, quantify, categorize and analyze data about its customers. This enhances organization’s sales processes. The data may be related to customers’ previous transactions, feedbacks, demographics and other miscellaneous personal information’s.

All data is stored in a single database!

Through customer knowledge management, customer experiences can be taken to a whole new level by minor tweaks or by fixing any loopholes in the business operations.

ROI

This is the icing on the cake for organizations trying to measure performance. Technically speaking, ROI is defined as the profit divided by the stock or funds invested. ROI is generally expressed in terms of percentage. Calculating ROI usually requires an incubation period of six months or more after the crucial data has been gathered from various sources. ROI analysis can drastically improve organizations performance and help achieve greater success.

CRM software can help with all the analytics and can act as a screw gauge for KPIs. CRM software would have a Business Intelligence engine which would efficiently handle all the analytics. It can also act as a database for customer knowledge management.

The report engine would also allow one to view and generate multiple reports for further statistical analysis that would help give your business a boost!

Indeed! CRM software is a must for any industry for analyzing the measures that would determine the organization’s CRM performance.

Guest Post by:
Kapture CRM

InsightsSaaS

The Best Digital Nomad Software for Staying Productive on the Road

As a digital nomad, it often seems impossible to stay focused and productive while out on the road. And this can easily become your truth if you fail to utilize the best productivity resources at your disposal.

Instead of waging war on your mind because the nomadic lifestyle is calling you and you just don’t feel like working, utilize the best tools available to you to ensure your work is done so that you can continue funding your nomadic life.

With that said, let’s take a look at the most popular productivity resources available right now.

As soon as you start using them in your business, you’ll notice a major difference and focus, motivation, and productivity problems will become things of the past that you’ll gladly wave goodbye to in your rearview mirror.

Trello

Are you trying to manage multiple projects while living the digital nomad lifestyle?

If so, Trello will feel heaven sent!

This project management tool can honestly organize everything. It’s perfect to manage to-do lists, and it can easily help you keep projects, campaigns, and individual tasks organized and on point.

When you begin using this app, you will never miss a deadline again. You’ll always know when the next part of a project is due, and you’ll leave yourself ample time to work on it well ahead of schedule.

Clockspot

When living the digital nomad lifestyle, using Clockspot in your business is an absolute must. And this is especially true if you are managing multiple people working on multiple projects at the same time.

This program allows your freelancers and virtual assistants to “clock in” and “clock out” from anywhere in the world.

Plus, it lets you input specific project information at a task level, so you’ll know exactly how much time your staff takes whiling working on a particular project. And you can use this information to bill accordingly.

Not only that, this software makes it easy to generate payroll reports, overtime pay, and it will even manage workers’ time off.

And our absolute favorite thing about the software is lets you see which employees of yours are working in real time.

Slack

Many digital nomads work in collaboration with team members located all across the globe. It’s often difficult to keep in contact with the members of your team as you travel around the world.

It’s easy to set up Slack groups online. Add team members to specific groups, and you can even open up numerous chat rooms based on specific topics or categories.

Plus, this software makes it possible to directly message members of your team so you can communicate with them one on one, in real time, when necessary.

Google Drive

Google Drive is an incredible backup tool for a number of reasons.

For starters, it’s a great way to stay exceptionally organized. And since organization is so crucial while working on the road, having a tool like this at your disposal is nearly invaluable.

We also highly recommend Google Drive because you get 15GB worth of storage space for free, which is a lot better than their competitor Dropbox.

Plus, with Google drive, you can have multiple people working on the same project files at the same time without any confusion.

If you are working on a large project and multiple people need access to the files, storing them on Google Drive makes it possible for everyone to work together in unison without having to email files back and forth. That can get very confusing and it’s obviously something you would rather avoid.

Google Drive makes it possible to avoid project chaos and confusion.

Text Comparison

GlobalVision Text Inspection compares two unlike documents to manage the accuracy of text along the artwork, document, and packaging creation workflow. It’s perfect for making sure there aren’t any unintended changes as your text moves from your copy document to artwork to print.

Conclusion

While living in the digital nomad lifestyle, you need to do everything in your power to stay focused, organized, and motivated. Using the productivity resources recommended today will make your life a heck of alot easier while traveling around the globe.