Why Not Embrace the Advantages of Self-Serve BI Tools?

Don’t Be Daunted by the Challenges of BI Tools. Self-Serve BI is the Answer!

Gartner research reveals that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities. But how do your team members achieve these goals when they are busier than ever, and the changes are coming more rapidly than ever!

‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’

In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering.

Let’s Discuss: Benefits and Challenges of Self-Serve BI

First, let’s look at some of the challenges you will need to consider when implementing self-serve BI tools:

Challenges of Self-Serve BI

  • Technology Access and Infrastructure Readiness – Your IT, finance and management teams will need a comprehensive understanding of your current technology and infrastructure, the data hubs, data warehouses and software solutions (legacy, best-of-breed, ERP, etc.) that will provide the foundational data for your users. You will need a plan and a roadmap to integrate these into your business intelligence strategy. A modern, seamless BI solution can provide a simple solution for what might otherwise be a challenging situation. If you can easily integrate your data sources and make them available for data gathering and analytics, your users can leverage the data to report, share and collaborate.
  • Team Member Adoption and Understanding – Your team will also need an understanding of the average technology skills of your business users and their willingness to adopt new tools and solutions. If your team members perceive that your BI tools are difficult to use, or if they are not educated on the need for and the benefits of self-serve business intelligence, they are unlikely to adopt the new tools. If, on the other hand, they see the value to their role and how it can make them more productive and streamline their work process; if they see that the solution is easy and intuitive to use, your business is less likely to face the challenges of team reluctance.

There are many other challenges and considerations that should inform your BI tools strategy, but these two are perhaps the most important.

Now, let’s consider some of the many benefits of self-serve business intelligence and how it can support your goals and simplify the lives of your business users:

Benefits of Self-Serve BI

  • Social BI – Social BI allows users to champion the use of business intelligence. Power users and those who are curious by nature will create reports, share and collaborate, using easy-to-use tools and thereby encourage others to use the tools and to repurpose report formats etc. to achieve their own goals. Social BI allows business users to share, ‘like’ and perform tasks in a way that is similar to social networking and is therefore popular among business users.
  • Mobile BI – Today’s team members often work remotely, or spend a lot of time on the road. By providing self-serve business intelligence that is intuitive to use and accessible on Android and iOS devices, the business can ensure that users will have seamless access and can accomplish tasks, search for information, share and collaborate, without missing a beat!
  • Data Democratization and Data Literacy – If you want your team members to grow and add more value, you want to encourage data literacy and ensure data democratization. Move away from restricted data access and sole ownership of analytics by data scientists, IT and business analysts. Provide easy-to-use tools that allow for simple search analytics in a Google-type environment and will make it easier for reluctant business users to embrace your new BI solution and develop new data analytics skills they can use for fact-based decisions.
  • User Adoption – There is nothing more frustrating than spending the time and money to implement a new solution, only to find that your users are resistant to using that solution. With true self-serve BI tools and intuitive data visualization, reporting, analytics and access, users will want to adopt the tools and share their discoveries with other team members.
  • Embedded BI – If you want to leverage existing technology, improve your Return on Investment (ROI) and Total Cost of Ownership (TCO) for your current solutions and infrastructure, consider that self-serve BI tools can be embedded into existing solutions. With embedded BI with Integration APIs, users can leverage familiar, favorite software solutions in a single sign-on environment, and find information within those solutions without having to learn complicated new techniques or fighting with data silos and transferring data from one place to another.

There are many other advantages to Self-Serve Business Intelligence. This short list should give you some ideas of how you can leverage these tools in your own business landscape.

‘As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities.’

Business Intelligence solutions should include tools and techniques that make it easier to achieve data literacy and provide data analytics access to all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.  Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Let’s Discuss: Benefits and Challenges of Self-Serve BI!

4 Important Benefits of Digital Transformation!

If your business is considering a Digital Transformation initiative, it may be mired in questions about the value vs. the cost and time to make this change. While it is true that a Digital Transformation initiative takes some effort, there are numerous long-term benefits to this effort. In this article, we explore four of the benefits of Digital Transformation, in hopes of helping your organization articulate and affirm the advantages to make a decision that is right for your enterprise.

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

This article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

Why Does My Business Need NLP Search Analytics?

The What and Why of NLP Search Analytics and How it Can Help Your Business!

If your business is considering an advanced analytics solution, your IT and management team has probably already done some research and concluded that the concept of augmented analytics designed to support business users is the right way to go. To democratize data, improve data literacy and transition business users to the Citizen Data Scientist role, the business must select the right solution and plan for success.

Smarten Announces Free Online Citizen Data Scientist Course Available to All!

Smarten Announces Free Online Citizen Data Scientist Course Available to All

Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference.

 

Smarten CEO, Kartik Patel says, ‘This comprehensive, free online course is designed to support businesses and individuals who wish to pursue, or are interested in finding out more about, the Citizen Data Scientist journey. The Smarten advanced analytics product suite was specifically designed to support business users and those with average technology skills and offers sophisticated analytics tools in an intuitive, easy-to-use environment and this self-paced course material is a natural extension of the self-serve Smarten Augmented Analytics approach.’

This Free Citizen Data Scientist Course describes the Citizen Data Scientist role, and its benefits to team members and the organization, including improved data literacy, support for user adoption of augmented analytics tools, and an understanding of the basic algorithms and analytical techniques used in the process. There are no prerequisites for this course. It is intended for business and technology users and team members within the business environment.

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. “ Participants will gain a basic understanding of applicable analytical techniques, including predictive analytics, how to apply these techniques to real world business use cases and the augmented analytics tools they can use to make fact-based decisions and move the organization forward. We believe this course can play a valuable role in moving an enterprise and its users toward a more data literate environment.”

By providing this course as a free online offering Smarten hopes to further support and encourage users and businesses to embrace the very real benefits of the Citizen Data Scientist approach to analytics and objective, data-driven metrics and results.

Begin the Citizen Data Scientist Journey now, or contact the Smarten team for more information on Smarten Augmented Analytics solution.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationSentiment Analysis, and Clickless Analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.

Original Post : Smarten Announces Free Online Citizen Data Scientist Course Available to All!

Include Clickless Analytics in Your Data Democratization Project!

How Can Clickless Analytics Help My Business Succeed in Data Democratization?

Gartner predicts that ‘… augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ One of the primary reasons that augmented analytics is not adopted and leveraged to its full capacity is that the business chooses a solution that is not easy enough for team members to adopt – one that is restrictive, inaccessible or requires sophisticated skills.

SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics!

Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.

Natural Language Processing (NLP): The Value of Context-Driven Searches!

Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.

How Can NLP Help My Business Implement Self-Serve Analytics?

What is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?

What is Natural Language Processing (NLP)?

Natural Language Processing utilizes artificial intelligence to translate computer code and language into real world, human language. While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. When a business is considering an augmented analytics solution that leverages natural language processing, it need not concern itself with the complicated underpinning of code and design, but should rather consider what NLP can do for its users and for its business results.