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automation Back office business automation Productivity workflow automation

How Workflow Automation is Changing the Back Office

workflow automation

The back office of your business consists of employees in administrative and supportive roles. While the admin responsibilities don’t directly work with customers, they’re the engine of your ship. The back-office staff keeps everything up and running no matter what happens up front, and they need support to do so.

Workflow automation changes how the back office operates, maximizing efficiency and ensuring a more effective system overall. As powerful as workflow automation can be, implementing it is no small task.

Don’t know where to start with office automation? These examples will get your wheels turning and help you find direction.

Software Integration

Back offices rely on a variety of software programs to keep operations going. Keeping track of all the tools involved can lead to confusion. Workflow automation eliminates these issues by seamlessly integrating systems together.

Using iPaaS, or integration platforms as a service, you can set up your own workflow automation to tie all your programs together. For example, you can put a trigger in your project management software that will automatically download any files that your team shares to your email. This one simple step might not seem like much, but set up enough automation and you’ll be saving a ton of time.

Human Resources

The back office takes care of all employee management, whether they’re at the front desk or the warehouse. Hiring new employees, training and retention, and compliance are all essential aspects of business management. The more attention an organization can give to their employees, the more they will give back to the company.

Automation greatly assists in managing document-related tasks, which are the name of the game in human resource departments. Automatically generating and filing all the needed paperwork enables HR managers to spend less time at a desk and more time addressing employee needs and concerns. Workflow automation can also help with employee training for new hires or seasoned veterans who may need a refresher.

Banking and Finances

Nearly every back office has a financial team. They make sure books are lined up, invoices are sent and received, and budgets are followed. Automation helps ensure accuracy when taking care of company finances while accomplishing tasks at a quicker pace.

A simple example can be found with invoicing. Having workplace automation send and collect invoices takes a load off of your financial team so they can focus on other things. All they have to do is double-check the work and move on.

Purchasing and Inventory

Your procurement team will greatly benefit from workflow automation. Tracking inventory on its own is very time consuming, and it’s not an activity many enjoy doing. Automating inventory and subsequent purchasing will streamline the process, saving both time and money.

You can automate your inventory list to automatically update with purchases and shipments. When your inventory hits a certain level, your automation will trigger a notification to your procurement team that an order needs to be placed. While you still need the proper manpower to double-check industry counts and confirm shipments — automation helps ensure accuracy and timeliness with orders.

Data Analytics

Right on pace with automation is the growth of data analytics in business. Data-driven decision making has shown to be more effective than relying on intuition and experience alone. Businesses generate tons of data each day, so automation is an essential requirement for making it all work together.

Workflow automation will sift through the data generated by your business to pick out relevant information for your needs. One valuable aspect of data is its potential for trend forecasting. As workflow automation picks out key pieces of data for you, you can use it to make business plans based on perceived future events.

Data analytics also helps with product development, marketing, operations, and a whole lot more. Every aspect of your business can benefit from data, so this is one of the most important workflow automation areas to focus on.

Customer Experience

The front office consists of customer service and sales representatives who form a direct relationship with consumers. The back office, however, still has an impact on customer experience. For example, web developers work to build a site that enables customers to easily find the information and products they need, which plays a major role in the customer experience.

Developers and IT professionals know very well how beneficial automation can be. Workflow automation can siphon the data they need to make decisions that will improve the customer experience, helping them perform their jobs to a higher level. Automation also helps companies provide targeted content for customers visiting their sites. This personalizes the web experience, ensuring that every visitor finds exactly what they need.

Security

Another vital task performed by your tech team is that of security. Keeping malware and digital attacks at bay protect your data and information and that of your customers. Breaches can be catastrophic, driving away customers and slashing revenue streams.

Workflow automation can detect potential threats automatically, no matter the type of threat or time of day. This can trigger preemptive actions to slow down attacks until a technician can fully address the problem. Automation can also send prompt notifications to further accelerate response times.

In addition to cybersecurity, workflow automation can also help with physical security. It can track employee ID scans and other forms of entry to pick up on trends that may seem suspicious and need verification.

Office Maintenance

There’s nothing worse than finding out you’re out of copy paper or need to make repairs right in the moment. With workflow automation, you can keep track of office materials and equipment to provide proper maintenance for ensuring smooth workdays.

You can set up a workflow that calculates the number of materials your company uses and determines when restocking needs to be done. You can also use these algorithms to track printer toner, air filters, and cleaning materials as well.

Filing and Organization

No one wants to spend a day filing documents, and no manager would have one of their best workers waste time doing so. Digital filing systems and storage are more efficient than their physical counterparts but still need maintenance to ensure proper documents can be readily accessed when needed.

You can set up your own organizational system using workflow automation. Tag certain files to be sent to specific locations, so you know exactly where they’ll be when you need them. You can also automatically send the documents you need directly to your inbox, avoiding the need to hunt them down.

With workflow automation, your back office will never be the same. Not only will you be increasing your company’s efficiency, but you’ll also be giving your workers a huge quality-of-life boost as well. Any team that made it through 2020 unscathed deserves a break, and workflow automation can be just that.

Image Credit: charles parker; pexels

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AI business automation RPA Tech

The RPA Noise: The Long and Short of It

RPA

The topic of robots and automation was initially met with hysteria not so long ago. We had reports of robots stealing human jobs and other misinformation that was making the rounds. Cut to the present day, some of the fear remains — but the technology is here — in different forms or avatars (spelled bots, RPA, chatbots). Here is the long and short of the Robotic Process Automation (RPA) noise.

RPA has not created a meteoric crater yet, but what has it really been up to?

Robots and robotic process automation have been the hotbed of discussions for quite some time now.

Much is being said about bots and all the things it can impact. There is a fundamental difference between actual bots and robotic process automation.

What is Robotic Process Automation?

Robotic process automation is a software that claims to do the same as bots did, but virtually. Imagine tiny virtual bots working your digital world like Santa’s elves.

RPA, to be exact, automates business processes, not using actual robots but the software that does the work for it digitally. RPA will undertake tasks that would otherwise consume time, leaving employees to focus on more strategic, innovative thinking needed to meet the demands of quickly evolving markets.  

The terms “robotic process automation� and “artificial intelligence� are two unrelated technologies but often confused as one.  RPA “does� human-like work, while AI, “thinks and discerns� like humans.� Both technologies have yet to achieve their full potential.

First, let’s ask ourselves if this, in fact, is an important dialogue. Why would processes automated with robotics have any impact on us (‘us’ here is business)?

The answer is in three words; change, efficiency, and relevance.

Change signifies the adoption of emerging technologies that businesses need, to avoid becoming obsolete. As per Deloitte, close to 78% of businesses using RPA expect to invest heavily in the technology over the next three years. This shows a redirection from reliance on manpower for day to day tasks to intelligent machine and AI.

Efficiency is more palpable when tasks are thus allocated. Let’s take the example of physical robots. When bots work in collaboration with people, in a warehouse, productivity can shoot up to 500%. Similarly, when complex tasks like data entry, documentation, etc are done by RPA, the workforce is better equipped to focus on more productive pursuits.

Relevance is the very basis of its growing application. Remember, we have long foregone normalcy. COVID- 19 has alerted businesses. Apart from the death toll and health crisis worldwide, businesses probably suffered the worst backlash. For businesses, survival became necessary.

But how would they counter the absence of their workforce? Some of the workforce are working at 50 % capacity and some at 0. RPA saved the day for many.

RPA successfully automates the financial process, back office, data entry, customer service, insurance, and human resources. RPA easily fills the gaps for skill shortage.

The demand for RPA certification will see a monumental rise in the coming days according to experts. To answer the growing demand today, we also have a million RPA software available catering to different verticals and industries. Businesses can choose from a generation of Top RPA tools.

Custom Robotic Services

custom robtic services

The software is basking in glory because of the quick acceptance and implementation in a growing number of industries and areas within them.

Benefits and changes using RPA

Marketing: It easily undertakes marketing processes like lead nurturing, automates sales procedures, creating and delivering invoices, business intelligence reporting, customer journey tracking, etc. for example, RPA facilitates effective streamlining of digital ad positioning by up to 80%. 

It beguilingly takes care of customer engagement so the marketing team can apply their energies on other tasks. The software applies AI/ML to the marketing funnel and customer experience.

Customer Service: A very recent study states that 68% of service leaders have implied that bots and VCAs will be increasingly adopted in the next two years. RPA will automate generating invoices, processing payments, automated email communication, discovering and discerning data, and processing forms, and screen-scraping, to name a few.

In some cases, RPA implementation has supplanted quicker than expected results, giving up to 15% returns on investments (ROI). The software is cost-effective, increases customer happiness quotient, offers personalized services, and optimizes resources.

Finance: More than 50% of companies are seeking out a 360-degree digital transformation of their controller operations, according to a recent Deloitte poll of close to 1,700 finance and accounting professionals. 

With the sharpening dependency on RPA, companies are now able to automate more than 50 financial processes with bots becoming faster and more adaptive.

Bots can be used to automate banking tasks like KYC, loan processing and documentation, bank statements, financial planning and more.

HR: The adoption of RPA in Human Resources is relatively new but nevertheless, met with equal enthusiasm from businesses. Sierra-Cedar HR Systems Survey 2019- 2020 study states that the use of RPA tools in HR functions increased by 50 percent over the preceding year’s study. 

It automates processes like talent search, employment history authentication, hiring and onboarding, payroll, absence management, etc. This, in turn, allows HR personnel to dedicate time to the actual employee and business-related issues.

RPA is all set to restructure globalization. With most businesses turning to digitalization, as becomes the pressing need (read- global pandemic), RPA has become the norm. RPA is also redefining the way we do business.  A progressive technology at heart, it is not without its challenges, from creation to implementation.

Challenges

We may be experiencing the fourth industrial revolution of sorts. And digital technologies are being touted as the flag bearers. RPA is at the forefront, with the promise of the fastest growth metric in the coming decade.

What this necessitates, is a look at how well we are familiar with the system, and how far up has it come in successful adoptions. If it has, in fact, lived up to all the noise made.

We listed a few instances where RPA has seamlessly ingratiate itself with existing systems. But all hasn’t been smooth sailing for this software, nor for stakeholders involved.

The Cost Factor

Now we know that implementing RPA wasn’t so easy. Cost first. It was an expensive technology. Things are changing now, and RPA costs are scaling down with the increase in demand. But is it still simmered down enough for all budgets, and if so, at what cost?

The first issue here is, with millions of products available today, a business may find something that may fit right in with their investment budget. This would mean some compromise at the feature end. But that is the case with any software purchase today. However, RPA needs a readjustment at different levels once it is adopted.

Implementing something that may not completely answer your main issue would be detrimental rather than profitable.

The second dilemma, and the one at the core, is flagging investments. Our present economy has been hit so hard that many companies have gone steep on their investment allocation.

They are careful with risks. At a time like this, when automation is necessary but also uncertain due to its naiveté, fears control business buying decisions more than anything. This is also amplified by an acute shortage of funds.

Process Choice

One of the biggest problems businesses encounter is the decision to choose the right process to automate. Imagine the waste of resources and time if RPA is used to automating processes that do not add value to the business. This remains a common predicament.

A successful RPA initiative requires a sound business strategy, backed by sufficient finance and ongoing scaling of performance and results.

A PwC research infers that an RPA pilot project can take anything between four to six months as opposed to the projected four to six weeks. You see the substantial difference here, between RPA in theory and practice. But what governs this problem is the process choice.

Businesses need to have a strategy in place before adopting RPA. Just having RPA on board that does not reverberate through impactful business processes is meaningless.

The ultimate aim of RPA is to give you optimized efficiency. Moving tasks that took two minutes manually to 20 seconds, for instance, is a great upgrade.

Dealing with Complexities

Another essential thing about RPA is that it is not yet evolved to take upon more advanced cognitive tasks. So processes with many levels of complexities may throw your bot off.

Bots are limited by the tasks ingrained in them, created to work in a consolidated and highly systematic atmosphere. When met with unstructured elements, they do not respond. This would be like driving your sedan through the Sahara.

Higher Post Implementation Maintenance and Concerns

As much as we want to achieve autonomy over the work process through bots, having and maintaining them is another point of contention in implementing them. It is not the goose laying golden eggs. Bots on board means increased efficiency.

Of course. So we naturally gravitate towards more processes to be automated. But RPA maintenance, checking and monitoring their upkeep so work can move smoothly, can be a daunting process that may need additional consideration, time, and cost.

The bot also needs to mold as per the changing process of the business. Here your vendor needs to provide you with RPA solutions that are highly scalable and customized for your business. Though some vendors do provide a level of adaptation to such changes, the majority of the solutions available may still be fraught by limitations.

Many organizations using RPA have struggled with other issues like

  •   Having better control and understanding over bot behavior and how to direct them.
  •    RPA can still process very simple and immature operations
  •    Lack of better and more robust reporting capabilities

Irrespective of the drawbacks, RPA adoption continues to march forward. As it does, it will alter the fabric of business, customer engagement and behavior. We take a sneak peek into the future.

Future of RPA: The Rise of the Digital Workers

Nothing precedes or comes beyond the word of the customer. Digital economies have given heightened importance to customer experience. RPA, with its ability to deal with data management, is at the center of all data-driven decisions, and metrics that will contribute to it.

Look at retail, for example. Almost all retail processes can today be automated. For the sake of listing; back office, billing invoicing, data entry to the front office, store planning, trade promotions, etc. and it can achieve up to 98% accuracy in retails as per current studies.

RPA can overturn blocks that were existent earlier. Repeat orders, abandoned carts, loyalty program management. RPA may also be able to facilitate a direct address to consumer complaints, returns and exchanges. All of this constitutes excellent customer experience.

AI + RPA

There is a lot of talk of AI going on. The emerging technology has almost entered every business, and conjunct with other technologies to provide game-changing consumer experience, business operations, and more. RPA + AI will be the new intelligent RPA. These will be the new age “digital workers.�

Forbes predicts that in the coming years, more than 40% of enterprises will create state-of-the-art digital workers by combining AI with RPA.

They will come with advanced cognitive and analytical abilities like to act, perceive, make decisions, and make extremely calculated predictions. They will view data as “experience� and will be able to identify the emotion. This will take customer engagement to a completely different level.

Tomorrow holds the promise of newness and reinventing and countering RPA weaknesses too. A big problem that we presented here is RPA’s inflexibility. The latest research and expert talk discuss the answers in the form of low code. Low code is a joint forum for developers and businesses to manage bot behavior and accommodate readiness to change. What it will fruit, in reality, remains to be seen.

Conclusion

Our status quo with Covid -19 is supposedly the best launchpad for RPA. It provides the system to successfully permeate the market.  At the same time, this urgency has become the enemy.  We find RPA at a nascent stage, still evolving and advancing.

It may be able to do all and more. Many companies are still ill-prepared to progressively adopt the system. The software, however, is in a state of unfolding, adapting, and synergizing. The future is filled with endless possibilities.

The question is do we have the patience. And more importantly, can we afford the patience? Pandemic or no pandemic, technologies like RPA, AI, ensure that businesses will never be the same again. 

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business automation Business Intelligence business intelligence tool Data and Security Linux operating system ReadWrite Software

Best Business Intelligence Software and Business Operating System Options for 2020

business intelligence software

The world is in between huge technological transition. Every day there is more use of technology-intensive tools in place of traditional ones. Old tricks used to be tedious, costly, mostly false, and often harmful.  As a result, business intelligence is not what it use to mean a decade ago.

Today, increased automation is making companies to go on the look-out for up-to-date business intelligence software to keep up with the new global technology order. We know that data is the main part that is driving this change. Take for example our growing need for datification to improve our minor as well as major affairs.

Companies around the world are using datification to turn our daily lives into a huge mass of data. This is why datification is the heart of data science. This unique field of science works closely with business intelligence (BI) and many other fields e.g., scientific computing, exploratory statistics, etc., to be able to infer active meaning via data handling.

What is business intelligence and BI Software?

To put it simply, BI is a technology-based process that puts raw data into a readable form. Business and data specialists figure out this raw data and turn it into easy visual facts to aid the decision-making process. Because people tend to make better decisions when they have better information.

BI uses many software with technical and nontechnical sides to turn data into useful facts. These facts greatly assist business organizations in making the right decisions as well as solve serious problems.

The usual BI process takes many complex tools, software applications, and special methods. BI helps businesses in setting up an extensive data collection mechanism through many different sources. The sources usually hold a huge amount of data. The data is then explored, modeled, and analyzed by using highly advanced tools to identify irregularities, patterns, concerns, and trends.

The purpose of extracting information through this process is to develop infographics, dashboards, analytical outcome reports, etc. All of this information communicates results with corporate executives or anyone with the power to make strategic business decisions.

Best Business Operating System

We could go about making a case of one OS against the other and confuse you to no limit. Or we could straight away get down to the best possible option and tell you why it is, in fact, the best for you. We choose to go with the latter. Because frankly, the whole point of this article is to make seemingly difficult choices easy for you.

The saturated spectrum of OS gives us the same names whenever we need a system in tune with our interests.

It usually renders people to believe that compatible or not, only these few names e.g., Windows, macOS, Unix, Android, etc., are their possible options. However, if you dig a little to look behind the obvious you will find the most well-matched solution seemingly hiding in the shadows.

Although the best OS option – Linux – for businesses that we intend to talk about today is not actually hiding in the crowd, it is still not much talked about especially given the unending list of values it is adding to businesses worldwide.

If you, like many others, have missed the appearance of Linux operating systems as a worthwhile alternative to nearly all the existing OS, now is the time to rectify that. it is being estimated that Linux is set to replace the OS arena as you know it today due to its dizzying range of futuristic features that are sweeping the technology bigwigs off their feet. take Huawei reliance on Linux Deepin for its MateBook laptop for example.

Why go with Linux for your business?

2020 is not just the year of further technical advancement if anything, 2020 seems to be more business-centric than anything else regardless of the subject area or nature. The technological progress of businesses can only be ensured if the in-house IT infrastructures are up to date. For cloud computing though, Linux is proving to be an unparalleled fit and rather an inexpensive fit for businesses.

You will also find that the integration of Linux systems is quite simple depending on the specific Linux distribution –  distro – you select in coordination with your computing requirement.

The best still is the fact that you don’t have to discard your standing infrastructure to appropriate the flexibility that open-source software and cost-effective functionality of Linux provides. It is literally a free replacement for other OSs, which businesses find more than a little hard to comprehend.

Linux does not require purchase prizes even for the applications unless you are a kind of business that needs expert help from paid tech support. Even that can be worked away, given the variety of Linux system administrator training programs available today which effectively ticks an overhead off the list of businesses’ overall cost.

Best Linux for Businesses in 2020

So how do you figure out which distro is the best fit for your business? Because Linux OS comes in a vast variety with several futuristic business-grade features. Well, we have put together a list of top of the range distribution based on a criterion that includes:

  • Stability
  • Practicality
  • Support

Let’s have a look at some of the best Linux in 2020 with critical uptime, unwavering support, and practical capabilities.

CentOS

CentOS is one of the most popular Linux server distributions. Linux has developed CentOS on the foundation of Red Hat Enterprise Linux (RHEL) by the funding support of Red Hat in 2014.

Assembled with pleasant Gnome – the default desktop for Red Hat & Fedora – familiarity along with widely supported Red Hat package manager (RPM) open-source, CentOS makes for a highly compatible enterprise-class Linux distro for workstations and servers.

Slackware

Slackware is the oldest Softlanding based Linux distro which is active to date. Patrick Volkerding created it in 1993. Slackware provided bases for many distributions like SUSE Linux distro. It provides end-users maximum control than any other Linux OS but this feature has both sides to consider.

For instance, while it gives you huge command control, this lightweight distribution lacks the graphical configuration and software dependency resolution mechanism. If you are looking for a customized distro, Slackware is the one to suit your requirements,

ClearOS

This Linux distro specifically optimizes small and medium enterprises. It serves as a network gateway as well as a network server that you can administer completely from a web-based interface. ClearOS is an effective alternative to commercially supported software solutions with professional tech support availability.

Like CentOS, this distribution also has a relatively simple configuration and maintenance due to innate RHEL foundation packages. But the similarities cease here because unlike CentOS, ClearOS is strictly a server platform. Its absolute web reliance proffers the use of varying consoles unnecessary after the distro installation.

Ubuntu

The ever increasing popularity of Ubuntu – Linux desktop distribution – make people think that it is most compatible with personal usage. Which is hardly true given its well-recognized community support system. Ubuntu provides its end-users absolute stability and flexibility along with the free version called Ubuntu Servers for the backend requirement.

Ubuntu is designed based on another Linux distro named Debian. It means Ubuntu can use Debian packages using advanced package tools (Apt) management system to add or remove software. If you choose to select Ubuntu as your Linux OS, you will have the finest support from its massive userbase. The latest releases are marketed as long term support (LTS) backed distros with 5 years maintenance option for professional tech support.

IPFire

IPFire distro is often regarded as a Linux watchdog due to its extraordinary security solutions. This is especially relevant to small businesses that are more susceptible to cyber threats to the security of their networks.

Install this distribution and leave it to manage the IP addresses, firewall protection, and employee monitoring for safety or behavioral check. Although it is not difficult to maintain, IPFire will surely require expert-level knowledge to get it installed and running.

There are several reasons for its complex configuration. For example; distinct nature from any other Linux versions, Tor node, proxy protocols, etc. There are several Linux administrator training programs available that should solve these support issues in the installation process of IPFire.

OpenSUSE

OpenSUSE or more accurately SUSE Linux Professional is another Linux distribution community program. It is powered by SUSE Linux GmbH to be used as the basis for commercial SUSE Enterprise. Contrary to CentOS and ClearOS, OpenSUSE is designed with a strong desktop environment that has its window manager called K development environment (KDE).

KDE comes with a graphical interface that makes it a heavyweight distro to be highly compatible with timeworn hardware systems. For instance,  Raspberry Pi single-board computers. It is a stable and secure OS due to the latest release of rolling models that has consistent update availability.

Best Business Intelligence Software for 2020

Often the term business intelligence refers to a vast range of brilliant BI software. Software that quickly accesses and analyzes data sets to provide easily understandable and actionable information in the form of:

  1. Analytical reports
  2. Insightful summaries
  3. Dashboards and ad hoc queries
  4. Graphs, charts, and maps

Yet, the hunt for just perfect business intelligence software can be a somewhat daunting and costly process. Especially if we consider the fact this software often delivers more than what’s required by small or medium-sized organizations. The good news is that there are many free BI tools maintained by highly skilled developers motivated to break BI monopoly.

Seven of the most optimal free BI software for you to start taking advantage of data analytics — and these cost less.

ChartMogul BI Software

ChartMogul is one of the most popular BI software that manages an extensive user community rather smoothly. It is known to provide the best services to businesses that are working to build a subscription package. It is possible due to its churn rate measurement and customer value features.

QlikView

QlikView is an exceptional ETL data storage and multilayered analysis BI software. Presented by Qlik, this tool also offers an end-user dashboard that connects different data sources to develop data visualizations.

Cluvio

Cluvio is a programming language compatible with business intelligence software. It lets businesses to process data written in SQL, R, etc., against their databases to produce data visualization and dashboards. It also provides webinars and online training to help businesses get started.

ActivTrak Business Intelligence Software

ActivTrak – released by Birch Grove Software – is a behavior analytics software that can sustain the teams of 5 to 1,000. This BI tool is designed for business, IT, and HR executives, managers. It also assists team leaders to track the overall status and productivity. ActivTrak also comes with both the iOS and Android compatible apps.

Databox

Databox is known to be a powerhouse of the best business intelligence software. It has an impressive interface and simple functionality that allow businesses to keep tabs of key performance indicators (KPI).

It presents dashboard reports and information that can be shared on multiple devices. Databox also comes with integrated systems like Adobe Analytics along with iOS and Android compatible mobile app.

Tableau

Tableau, true to its name, is an Excel-based BI software. It is perfect for those who enjoy data analysis within pivot tables. It has an advanced user interface that offers a drag-and-drop feature for data manipulation and visualizations.

Kyubit Business Intelligence Software

Kyubit BI – powered by Kyubit Solutions – is another programming language assimilated business intelligence software. It allows businesses to develop reports off their SQL, CSV, OLAP, etc., data. It is an ideal tool for those with a little bit of knowledge of data analytics or business intelligence mechanisms.

You can install these free BI software from the cloud, web portals, and SAAS and offer 24/7 live support availability.

Significance of Business Intelligence

Today, optimizing BI is no longer considered the province of only mega-corporations. Because affording data centers and computing powers that are required to analyze business data was not for average businesses. Courtesy to inexpensive data-analysis tools today and BI software even small and medium businesses are benefitting from the BI revolution.

An effective business intelligence program can improve business decision making at all levels which leads to improved organization’s tactical management processes. To improve every aspect of the company, businesses need to develop a central association. It is only possible with establishing better access to the company’s data. Because after all data is the main factor that brings forth the maximum profitability.

BI and Data Science

Business Intelligence (BI) is a subdivision of data analytics that takes a predetermined set of processes, technologies, strategic architecture to transform the raw data into actionable business intelligence (information).

BI is designed to employs a reverse approach in which it analyzes past data to solve the current problems. Although, this approach provides tactical reports that contain factual statistics, but they cannot predict future events.

That is where the distinction between business intelligence and data science begins. You use data in an advancing approach to predict the future outcome in data science to make profitable business decisions.

Business Intelligence in data science works by combining business analytics, data mining, data visualization, input/output bounds tools, and data infrastructure, to augment businesses’ decision-making abilities. BI integrated into data-science methods is the faster way of reporting and communicating results through specialized business intelligence software tools.

Specialized business intelligence software tools include:

  • SAP Business Intelligence
  • Oracle BI
  • Microsoft Power BI
  • SAS Business Intelligence

At the end of the day, all the areas that we talked about above and more are businesses. You just cannot be a  good data scientist for an organization if you do not have great business intelligence skills. BI as a system connects all the skills that a business has.

So, if you want to work in the field of business intelligence you must get the following few skills:

  1. Experience with data analysis tools and SQL Programming
  2. Data warehousing concepts
  3. Problem-solving techniques
  4. Domain knowledge
Conclusion

Today is the right time to take full advantage of the BI software system for your business. Invest in BI training programs, best OS, business intelligence software for good results.

Keeping up with technology is no longer a matter of choice for organizations. Today it is a matter of survival for businesses around the world regardless of the size of the company.

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