Tag: Strategic

What is Business Agility

Written by Business Analysis (BAPL) on September 15, 2021. Posted in Articles.

Success today requires the agility and drive to constantly rethink, reinvigorate, react, and reinvent. – Bill Gates

Business agility is not about rolling out New Ways of Working (NWOW) or Agile methods via a ceremony, but it is about business analysis capability to continually assess the market needs & being able to reshape & remodel an organisation to meet these needs.

A generation ago, a “Kodak moment” meant something that was worth saving and savouring. Today, the term increasingly serves as a corporate bogeyman that warns executives of the need to stand up and respond when disruptive developments encroach on their market. – Scott D. Anthony

As we are entering the 5^th Industrial revolution, the age of software, we can see that business agility and software engineering excellence are paramount for organisational success.

Today six of the top organisations in the world are technology companies and four were founded by software engineers. It is not surprising to predict that those organisations that master software engineering in the next decade will survive & thrive, while those that don’t will flounder or dwindle.

Even traditional manufacturing companies such as car manufactures are being disrupted. The electric car now utilise over 1 million lines of code & it is predicted that the autonomous car will require over 1 billion lines of code. Car manufactures will employ more software engineers, business analysts, testers than production line workers in five years time.

How do you improve software initiatives? Are you taking control of your software engineering or are you only using cookie cutter New Ways of Working (NWOW) for Agile transformations?

Connecting software initiatives to business outcomes through value streams is the key. Success can only be driven by the market that drives the reshaping of the business. If you have no connection between your delivery squads and business success, you will inevitably fail.

We trace from market analysis, value streams and delivery backlogs to make sure that business agility is realised fully. Feature driving, compliance driving, user ability, or low defect driven are measured to enable real business agility for a competitive advantage.

Exceptional business analysis is the key to successful business transformation for the future uncertainty. The best way to predict and lead the future is to create it.

“Increased ROI: Business analysis keeps the focus on the value delivery to the customer. Enabling organizations to better define products with business analysis to deliver the right outcome that meets customers needs and eliminate requirements with minimal value.
Increased success rate: 71% of failed software projects can be traced to poor requirements – CIO Magazine, 2006. Mitigate the risk of failed initiatives with business analysis throughout all planning levels and prioritize implementation of requirements with the most potential benefit to the customer.
Reduced costs: Better defining the product and focus on the right requirements eliminates unnecessary changes or rework with logical and orderly decision-making, tailoring and aligning solutions to the business or customer needs.
Gain competitive advantage: Accelerate product delivery and be the first to market to gain market share by creating a clear roadmap from the current to future states and building a consensus among stakeholders”. IIBA

Here’s the thing about exceptional business analysis

Business Analysts help your company to think about the “why” before going ahead with a strategy, which will helps prevent technology initiatives from providing little or no value to your organisation.

Here’s an example of exceptional business analysis. A client sought a solution to manage their approval process and documents. These were associated with their major energy capital projects, having a value of up to $100 million.

We analysed the business process automation, mapped the future state processes, and explored the business and functional requirements through a series of stakeholder workshops. This was achieved by using aspects of our methodology and customising templates from our Business Analysis Centre of Excellence (BACOE)

Based on these documented processes and requirements, we developed an automated workflow solution.

The outcomes of the process automation solution were:

Increased consistency of the approval process
An automated audit trail for the approvals
An increase in document tracking, resulting in a greater efficiency with approvals
Reduced time spent on approvals by eliminating manual approvals
Reduced resource wastage on printing

In the final analysis, we found that by minimising the delays for approvals, this reduced the external contract resources required for approval processes. Within six months, the cost of developing the solution was paid for by the benefits of the automated workflow.

An exceptional Business Analyst requires a unique skillset that many senior executives have never experienced. However, you need to engage in proper business analysis to provide a greater chance of transformation success.

As increasingly competitive organisations look to become more innovative to survive and prosper with technology, business analysis is critical.

If you want to deliver better products & services to customers, and not to become a “Kodak moment” then let us help you to improve your software initiatives!

A Structured Approach for Providing Information Systems Solutions

Written by Jeff Leving on April 1, 2021. Posted in Articles.

The Information Systems Landscape Today

Arguably, systems built within the information technology industry have reached a certain level of maturity since their birth about 60 years ago. Whether that maturity could be characterized as adolescence or middle-age is up for discussion.

Whatever the age level, we do know that there are myriads of solutions in the marketplace that satisfy many of the information management needs in many industries. It is therefore imperative that any business in today’s marketplaces approach their quest for IT solutions in a methodical manner.

A Structured Approach to System Selection

In the Forefront of our Thinking…

SaaS or “Software as a Service” is the clarion call of IT applications today. This type of solution is owned, delivered and managed remotely by the providers themselves. It offers many advantages over providing purchased or in-house developed solutions deployed on-premise. including [1]

A lower cost of entry – SaaS affects both hard costs (eliminates buying and provisioning hardware resources and allows for less staffing overhead) and soft costs (reduces opportunity cost lost due to the time it takes to implement a new system).
A reduction in the time to benefit/rapid prototyping – SaaS software applications are already installed and configured, thus reducing the time needed to turn up the software solution and facilitating prototyping efforts.
Scalability and a pay-as-you-go cost model – SaaS solutions usually offer predictability for both the subscription and, to some extent, administration costs. There is no need to invest in server capacity and software licenses. Simply adjust the subscription.
The provider is responsible for upgrades, uptime and security -“SaaS solutions typically offer seamless, automatic, frequent upgrades as part of the ongoing subscription charge. Because these upgrades happen more frequently and incrementally than on-premises solutions, they typically have significantly reduced testing and end user acceptance and training costs.” [2]
Higher adoption rates – Because the software is accessible via familiar web browsers, SaaS apps tend to have lower learning curves and tend to present a more intuitive end user experience.
Designs that facilitate integration and scalability – Most solutions are designed to support some amount of customization. In addition, they typically include comprehensive APIs to allow connections not only to internal applications like ERPs or CRMs but also to other SaaS providers.
The ability to work anywhere – Since the software is hosted in the cloud and accessible over the internet, users can access it anywhere they can get connected. The better SaaS providers will ensure that their solution is device, operating system, and/or browser agnostic, too.

Therefore, no matter at which level a solution exists in the model outlined herein, it is essential to consider whether it is a SaaS solution or not. It may even be prudent to opt for a SaaS or cloud-based solution that is at a lower level in the model presented below, if one at a higher level can only be deployed on-premise.

Level One: Find and Leverage a Core Enterprise Information System

Enterprise Information Systems (EIS) exist for every major industry. EIS’s are also known as enterprise resource planning (ERP), core, or enterprise application (EA) systems. Identifying the one that matches the majority of our business needs is crucial. Finding a system that is just the right mix of the following characteristics is the key:

The EIS should be an “ecosystem” – a platform that facilitates accommodating many of our existing and desired future business processing needs.
The EIS should offer a suite of features that can be implemented in a modular fashion.
The EIS should be built on solid technological foundation for proven reliability, security and regulatory compliance.
However, the EIS provider should also be a forward-thinking company, willing to invest heavily in R&D to realize continual improvement for their EIS.
The provider of the EIS itself should have a solid track record of delivering quality information systems and maintaining meaningful customer relationships.

The right EIS will go a long way in satisfying an organization’s business processing needs. However, every EIS has its limits.

Level Two: Find Solutions from Key Collaborative Partners to Fill Some Gaps

Quality leading industry solution providers will not only have an EIS solution to accommodate many of the business processing needs of that industry, but they will have formed key, collaborative relationships with partner IT solution companies to help them deliver an even broader suite of solutions to their customers.

These partner-provided systems will be the next source for satisfying additional processing needs. The best systems will come from collaborative partners

whose software solution seamlessly integrates with our EIS;
whose software development teams work hand-in-hand with the EIS provider, keeping all facets of their systems in tune with the evolution of the related EIS;
whose systems themselves may be modular or capable of enabling features on an as-needed basis; and
who also place a high value on customer relationships to keep in tune with the business needs and wants for which their software should provide.

Level Three: Find Other Niche Solutions with Compatible Interface Technologies

An EIS vendor can only see so much of the business needs landscape that surrounds the industry for which their EIS is a solution. They will usually partner with other vendors whose solutions fit well within a broad spectrum of their customer base.

So when a line of business needs a technology solution that neither our EIS vendor nor any of its partners can provide, there are usually other vendors we can turn to. Fortunately, many of these solution providers have developed systems with a modern and mature application programming interface (API) and an associated data transport mechanism like an API gateway, messaging bus, Electronic Data Interchange (EDI), or an eXtensible Markup Language (XML) transport protocol such as Simple Object Access Protocol (SOAP) or REpresentational State Transfer (REST).

Level Four: Find Other Niche Solutions that Allow for ETL-Type Synchronization

If no solutions for the niche need have a mature API, then we should next turn to vendor-provided applications that deliver the necessary requirements and desired features, and can handle some type of mass-updating or bulk-loading of data into and out of their system. This kind of integration is commonly known as an Extract-Transform-and-Load (ETL) method of synchronizing two disparate systems.

There are very few systems that handle an island of data that has no relation to any other system within the bank. This means that where the data in a niche system overlaps with other existing systems, by necessity we will have a double data entry condition. This should be avoided at all cost!

Level Five: Develop IT Solutions In-house

Inevitably, we will come across business processes that are unique to the way we want to provide our services. If a thorough market search – including reaching out to peers in our lines of businesses to see how they may accommodate similar business-delivery desires – renders no existing technology solutions for these “uniques,” then two questions must still be asked:

Does this unique way of delivering our business offer measurable value or align with our most identifying business strategies (which can sometimes be intangible)?
If the answer to 1 is a resounding “Yes!”, then do we have the necessary, not-already-fully-utilized, technology staff to design, develop, deploy, and maintain a solution to this need?

Only when both questions are answered affirmatively can we proceed at this Level. And even then, with caution!

Limiting the Emotional or Subjective Approach

A business analysts, our goal is to try to be as objective as possible when suggesting or providing technology solutions to our employers or clients. Our sponsors or stakeholders often, however, come into system selection initiative all fired up about System XYZ that a peer has told them about or that they saw demonstrated in some venue – and they just have to have it! Taking a structured approach like the one discussed above is always a best practice. We want the best solution, the one that will help move the organization forward to even greater success.

References

[1] “Why SaaS? 7 Benefits of Cloud vs. On-Premise Software,” Mandy Movahhed, June 18, 2014, https://www.handshake.com/blog/why-saas-cloud-benefits-vs-on-premise-software/

[2] “The ROI of Software-As-A-Service,” Liz Herbert and Jon Erickson, July 13, 2009, http://resources.idgenterprise.com/original/AST-0113124_forrester_roi_of_saas_1_.pdf

Rising to the Challenge

Written by Anna Rajander on March 3, 2021. Posted in Articles. 1 Comment on Rising to the Challenge

Visions. Missions. Goals. Objectives. They are great for creating a shared understanding and bringing teams together for a common purpose… until they’re not.

Having a team contribute to the goals and objectives for their project or area can be a great way to communicate the organisations vision and promote team cohesion. Measuring progress against objectives can help maintain momentum and allow the team to see progress, identify issues, and share success.

Sounds great, right? Or alternatively…

Visions and goals are just overly-optimistic business jargon that serve no real purpose. They have no bearing on my work and discussing them is a waste of time when I could be doing something more important. Objectives are just a way for management to shirk their responsibilities, and measuring objectives leads to unnecessary paperwork and micromanagement.

As Business Analysts, it is drilled into us how important a shared vision and/or goal is when coordinating a team of individuals to implement and sustain business change. Cascading visions and objectives can be a great way to align work across an organisation, ensuring the goals and objectives of the component parts contribute to the organisation vision and/or mission as-a-whole. It is accepted practice to set, regularly review and tweak goals and objectives, and there are several techniques to support the discovery, definition, communication and monitoring of goals and objectives, including MOST, SMART, and Balanced Scorecards.

However, for some, it can be hard to see the point of goal and objective setting. There can be a variety of reasons for this, including but not limited to:

Feeling threatened by the prospect of being managed/measured
Disappointment with previous efforts to define and deliver on goals and objectives
Difficulty seeing how the wider vision relates to their day-to-day work
General resistance to change

In cases where you have several individuals that feel this way, trying to define goals and objectives as a group is likely to prove fruitless.

So how can you bring a team together without a shared goal? Are there other ways to create a clear, shared purpose for a team?

The Challenge.

An alternative to setting a goal is to set a challenge. Having a challenge to overcome can create the clear direction and purpose required to coordinate work across a team.

The difference between a goal and a challenge you ask? Not a lot.

Overcoming a challenge is as good a goal as any. However, while the end-result may be the same, the mindset for getting there can be quite different:

‘How can we contribute to the organisation vision?’ vs. ‘What challenges do we face in meeting the demands of the organisation?’
‘What is our common purpose?’ vs. ‘What is stopping us from moving forward together?’
- ‘How do we measure progress against the objective?’ vs. ‘What steps have we taken to overcome the challenge?’

In the same way you can analyse and decompose goals to create objectives and requirements, a challenge can be further decomposed into target conditions and steps. Ultimately, challenges can be reworded to create goals, target conditions objectives, and steps requirements – meaning they can still be analysed and aligned to the visions/goals of the wider organisation/department.

Are there techniques that can help?

Yes, there are. More generic techniques such as Brainstorming, Mind Mapping and Affinity Mapping can help with the initial identification of challenges. However, when it comes to decomposing challenges into target conditions and steps, the A3 is a particularly useful technique.

The A3 (so named because they generally cover a single sheet of landscape A3) is a technique that has been developed and used as part of the Toyota Kata and adopted by Lean organisations. It is used to identify, define and manage process improvements. While Toyota uses A3’s as part of a wider process improvement philosophy and cultural mindset, an A3 can be a powerful stand-alone technique for supporting the discovery, definition and documentation of challenges, as well as record any progress in overcoming them.

The main idea behind the A3 can be summarised in four simple steps:

Understand the Challenge
Grasp the Current Condition
Establish the next Target Condition
Experiment towards the Target Condition

Templates for setting out an A3 vary. I have provided an example below. However, it is important to note that regardless of how sections are laid out on the page, it is important that the four key elements of the A3 are tackled in the order set out above – Challenge, Current Condition, Target Condition, Experiments. It’s also important to realise that the Target Condition should be the next Target Condition – there may be multiple Target Conditions before a Challenge is overcome.

There are a couple of benefits to using the A3 technique:

Its very logical, so will likely suit people who have a more logical mindset
It’s can be used as a way of documenting and allocating discrete pieces of work
It works well for situations where the path from the Current to the Target Condition is unclear, allowing time to think, explore options, and experiment – rather than feeling forced to articulate a solution straight away.

In the end…

Challenges and Target Conditions may be used as an alternative to the traditional approach of setting cascading goals and objectives. Involving team members in the process of discovering and defining challenges can be a good team-building exercise, especially in circumstances where a team feel removed from the vision of the wider organisation. A3’s can be used as a framework for documenting challenges and working towards overcoming them. While not a panacea for dealing with resistors and detractors, it is another tool that may prove useful in any journey the involves coordinating groups of people, aligning goals and objectives, and creating a shared vision to support the successful implementation of business change.

Resources:

Toyota Kata: Managing People for Improvement, Rother, Mike, 2009.

Anna Rajander, February 2021.

10 Best Business Analysis Books For Beginners

Written by Theresa Cofield on December 3, 2020. Posted in Articles. 1 Comment on 10 Best Business Analysis Books For Beginners

Corporate analysis is a discipline in which business requirements are defined, and solutions are identified for business issues.

For an organization to thrive and function successfully, some things need to be placed during its foundation. Here are some books that can be of assistance.

1. Writing Effective Use Cases (Agile Software Development Series) by Alistair Cockburn

Business analysts profit from case studies where they talk about how people use a system. This helps in planning projects and use cases is a crucial feature of business and software systems. The problem is that it is not so easy to write straightforward and succinct cases. Author Alistair Cockburn utilizes modern methods to write case stories in this novel.

You can learn about advanced principles that are useful, whether you are an experienced analyst or a novice. Cockburn presents strong and bad case examples to help you quickly and rapidly understand the difference. The main aspects of situations, like stakeholders, scenarios, etc. Design, moment tips, pre-built templates can be utilized.

2. Business Analysis Techniques: 72 Essential Tools for Success by James Cadle

Every analyst needs the necessary resources to accomplish the job. The work involves solving problems and exploring ideas. You need to know how to solve various types of problems, like identifying project specifications or handling changes.

This book describes these strategies carefully in order to help the reader deliver reliable results in business work. Think about it as a market analyst, a manager, or a student who is learning the trade, as a cheat sheet you can talk about.

3. Project Management Absolute Beginner’s Guide (3rd Edition) by Greg Horine

You have just started working as a project manager? In this book, you can easily and rapidly grasp key concepts by disrupting vital project management activities. You can learn how to organize and manage budgeting, planning, team management, and more. Each phase is outlined so that you can start right away.

The guidelines are simple and convenient. You will discover that the project managers make daily errors to avoid taking the same route. You can also understand what heading projects entail instead of merely overseeing them. If you do not know how to begin your job or your career, take this book to learn what you need quickly.

4. Project Management: A Systems Approach to Planning, Scheduling, and Controlling by Harold Kerzner

This is referred to as the Project Management Bible” since it offers practical insight into all facets of becoming a project manager. At all levels of a project, you can learn the techniques and methods to use. But it’s more than tips in this book. This text covers market changes, failure, agile project development, evolving industry topics, and project measurements.

There are just a few components that can limit performance in project management. This book is not a guide to project management, which is easy. There are plenty out there. When you want to know information about project management, quality assurance, and customer cooperation, this is the book you need to collect.

5. Business Analysis for Dummies by Kate McGoey, Kupe Kupersmith, and Paul Mulvey

Business Analysis (BA) is a group of activities that ensures that the company has the best solutions to achieve its strategic objectives. In order to carry out this workforce, it is important first to define the actual objectives and evaluate and propose solutions for a solution that needs to be addressed.

Provide guidelines as to how the market analysis will influence your company. Shows the tools and strategies to be a competent analyst. Provides many examples of how to market evaluations can be carried out irrespective of your position

6. Adaptive BABoK Study Guide by the Adaptive US

BABOK® summary graphically represented to enable simple, engaging learning of concepts and practices of business analysis. However, a visual presentation and a summary of this information are effective for you to learn. BABOK® guide includes a large amount of structured text information.

7. 3D Business Analyst by Mohamed Elgendy

Three distinct fields of 3D Market Analysis – business analyzes, project management (PM), and lean 6 sigma – with historically different skills and career paths. When, however, the components of these skill sets are analyzed and understood, a simple overlap is generated. When used together, they provide the BA with the required concepts, theories, and ends so that it can interact more effectively with stakeholders in its own language.

8. Agile and Business Analysis: Practical Guidance for IT Professionals by Debra Paul and Lynda Girvan

Agile is an iterative approach to software development that has quickly become the most common replacement for conventional project management in the IT industry. The use of an agile approach will revolutionize work practices for business analysts. It allows for a clearer vision and definition of performance steps, greater participation of stakeholders, and a better understanding of consumers.

This book offers an extensive introduction and discusses Agile methodologies in the sense of market analysis—ideal for companies wishing to learn and understand Agile Practices in an Agile Environment.

9. Business Analysis: Best Practices for Success by Steven Blais

A full overview of the business analysis method in addressing business issues is given by this book. This guide is also full of real-world stores from the author’s more than 30 years of experience working as a market analyst, full of tips, tricks, methods, and guerrilla tactics that allow the entire process to face often daunting political or social obstacles.

It offers strategies and advice to conduct a business analyst’s challenging tasks at times.
Authored by a professional in the sector with 30 years of experience.

10. Seven Steps to Mastering Business Analysis by Barbara A. Carkenord

Business analyzes are now the fastest growing sector in business and both strategically and tactically the position of the business analyses. Seven steps to mastering business analysis illustrate how all these variables, along with many others, are the secret to success.

This book offers insight into the ideal skills and features of good market analysts and is the basis for the learning process. This guide also allows you to prepare for enterprise analysis certification by describing the tasks and fields of expertise in the Knowledge Body.

Conclusion

Businesses form an important part of a state. Encouraging young people to venture into business only increases employment opportunities. Through business books, this becomes an attainable goal as they offset with their best foot forward.

Why AI Drives Better Business Decision Making

Written by Nicole Garrison on November 25, 2020. Posted in Articles.

Are you ready to trust AI to make decisions for your business?

If you’re unsure if AI is good enough for this task, you might be surprised by the time you’re done reading. No, I’m not going to convince you to dramatically change the way you make your decision making process, like, right away. That’s not the right way to go.

Instead, you’re going to see how AI is really used to make a difference for businesses. We’ll also talk about how entrepreneurs like you are benefitting by incorporating AI in the decision making process.

How to Incorporate AI in Decision Making the Right Way?

The hype around AI has generated a quite false impression that it’s a complete solution to decision-making. For many business leaders not ready to embrace the technology, this impression has played a final role in making the decision whether to try it.

In reality, things are a little bit different.

AI doesn’t make decision-making automatic. It gives you never-before-accessed insights to make the best possible decisions faster.

In other words, AI doesn’t take away your decision making privileges. It becomes your partner whose ability to generate useful business insights is superb.

Virginie Grandhaye, the offering manager for IBM Decision Optimization, has recently given a great interview where she explained how the process of AI decision making really works.

According to Grandhaye, the primary role of AI is to enable the business to use data “to both analyze and formalize the decision-making process.”

There are five success factors involved in making AI work, says Grandhaye.

AI Decision Making Process Success Ingredients by Grandhaye

A good understanding of the problem faced by the business
A team of experts knowledgeable of AI analysis methods such as machine learning
Close cooperation with the business growth team. AI experts and decision makers should work together on data analysis to come up with the best solutions to a problem
A data science platform to manage data, validate assumptions, and visualize models.
Adequate capability to deploy. Having a platform for deployment makes it easier to monitor and manage the lifecycle of data models.

As you can see, AI experts and decision-makers need to work together to make the best out of the technology. The outcome of the cooperation will be the so-called “ intelligence decision.”

The biggest benefit of an intelligence decision, according to Grandhaye, is the ability to help businesses focus on a business need instead of having them dealing with algorithms and numbers.

Here’s how AI decision making does that.

How AI Improves Business Decision Making

1. AI Eliminates Cognitive Bias

Human analysis is inherently prone to cognitive bias, which has them focusing intently on irrelevant or wrong factors. It’s a really big problem just because of the sheer amount of them. Science says there are over 180 cognitive biases that could potentially affect your business decisions and steer you in the wrong direction.

A human decision maker is susceptible to all of them, especially when he or she is stressed, poorly trained, tired, or multitasking.

“Cognitive biases are bad for business,” writes Dr. Jim Taylor, an expert on the psychology of performance. [They’re] “most problematic because they cause business people to make bad decisions.”

AI, on the other hand, doesn’t have this problem. Its algorithms search for all connections and relationships in data, not just the ones that people want or need to see there.

2. AI Helps with Better Content Personalization

Content personalization is a must for online businesses to generate more traffic, leads, and sales. Deloitte says that 47 percent of online shoppers are ready to switch to a different brand after having impersonal experiences with a business.

A business can personalize content well on a small scale, but doing so for thousands of customers might become a challenge. For one, analyzing their browsing behavior to create relevant content becomes incredibly time-consuming.

That’s where AI intelligence decision comes in.

An algorithm can:

Personalize content based on a user’s browsing history, purchases, subscriptions, or other characteristics
Help content creators by supplying them with insights into customer behavior
Create more relevant brand experiences for customers by managing content in real time (content sequencing).

AI decision making can significantly improve digital marketing campaigns.

A company relying on content marketing to attract leads, for example, can use the insights generated by AI to write more engaging and targeted blog articles.

Content marketing platforms like OneSpot use sophisticated algorithms to deliver content sequencing, i.e. showing relevant content at specific points in the customer journey. This approach helps to increase the ability of the content to engage customers.

3. AI Makes it Easier to Understand Customer Journey

The existing AI-powered tools can dramatically advance understanding of customer experience with a brand.

Here are some ways in which businesses are using them already:

AI-powered chatbots automate lead generation and improve customer service by making your business available 24/7 and gathering lots of customer data
Chatbots share content based on a customer’s interactions with a brand automatically through Facebook
Algorithms detect customers’ emotions in social media posts and analyze the brand perception
AI systems conduct up-selling and cross-selling in eCommerce to help to sell more
AI face recognition systems make online payments easier and faster
AI identifies and prevents eCommerce fraud by identifying subtle behavioral patterns in transactions.

The results are already pretty amazing. Amazon’s AI-based product recommendation engine, for example, generates 35 percent of the company’s total revenues.

4. AI Helps to Create Better Emails

Email marketing, the best-performing digital marketing channel, has just got an update thanks to AI. Today, businesses use mostly traditional email marketing tools to send automated messages and get more customers.

With AI, a lot more becomes available:

Write more relevant subject lines. The algorithm can generate personalized email subject lines to increase open rates. It evaluates the performance of previous campaigns and suggests specific line options based on best-performing ones
Automate distribution. AI takes email distribution one step further by allowing to send automatic emails based on the stage a customer is in their journey
Generate emails. AI is good at creating emails that look like they were designed by humans. Already many AI-powered email marketing tools can both automatically generate emails and suggest the most relevant content ideas for specific recipients.

Together, these benefits allow businesses to deliver personalized emails at any scale. Since online customers appreciate personalization so much, chances are good that businesses will see their email campaigns paying off nicely.

AI Decision Making: Faster and More Effective Processes

So, how do you feel about AI decision making now? The technology can clearly benefit your business by giving access to previously unavailable data insights and patterns. By the end of the day, you’re still in charge plus your decision can be much better informed.

Businesses across different industries are already making better decisions thanks to AI. It’s up to you whether your company should join them, but don’t take long to make your mind. Your competitors are exploring AI, too, you know.