Augmented Analytics CAN Support Data Scientists Too!

Self-Serve, Augmented Analytics IS Suitable for Data Scientists

The world of data scientists and business analysts is chock full of data and busier than you might expect – especially today! Businesses have discovered the value of data in decision-making and, as markets and competition shift and change, these businesses have come to depend on IT staff and on data scientists to provide data to make decisions at the department, divisional, operational and strategic level.

The problem is, as always…TIME! There aren’t enough analysts and data scientists, the IT team is busy working on other tasks and the clock does not stop ticking.

And there is one other factor at play in the data analytics movement. As data democratization and data literacy drive the enterprise strategy and business users begin to leverage augmented analytics and business intelligence (BI) tools, the data scientist is also called upon to refine and present analytics and reports created by team members in order to ensure that these are appropriate for more strategic decisions.

The world-renowned technology research firm, Gartner, states that, ‘Data Scientists typically spend more than 40% of time in preparing and enriching data.’

Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!

‘When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results.’

You have the tools and systems for data extraction, transformation and loading (ETL), you have scripting tools like R, you have spreadsheets and more, but using all of those tools to gather, analyze, scrub and present that data takes time.

Data Scientists May Not Believe That Augmented Analytics is Suitable for Them…But They’re Wrong!

As a Data Scientist, you have the responsibility and accountability to produce reliable analytics to satisfy all manner of needs within the organization. You never know what corner of the enterprise might need your services but you DO know that your analysis and services must be 100% accurate and dependable. When business users depend on you to produce information on a day-to-day basis, it is nearly impossible to focus on the more strategic, crucial imperatives.

  • What if you could more easily derive data from disparate sources and prepare it for analysis?
  • What if you could integrate R scripting with advanced analytical tools to take your analysis to the next level?
  • What if you can use quick hypothesis and prototyping to choose the right influencers and model accuracy for your project?
  • What if you have a platform where you can roll out interactive dashboards, reports and results of your model production environment in minutes?

When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results. Data Scientists can optimize time and resources and to use their core expertise to achieve results. Data Scientists can use self-serve data preparation, to quickly create datasets without deep SQL or ETL skills, and they can use smart data visualization and tools to use output of algorithms in R, Python or other Data Science platforms to leverage existing investments in these technologies, and they can create and roll-out predictive models in a production environment to support the organization and business user needs.

‘Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!’

As business users create analytics for quick decisions and the organization needs to refine this analysis for strategic use, a data scientist can use the same augmented analytics tools to focus on that project and ensure accuracy, collaborating with Citizen Data Scientists and IT to align analytics with key objectives and goals.

With the time your Data Scientists will save, they can focus on the most critical strategic initiatives and move the enterprise forward with fact-based decision-making.

To learn more about Augmented Analytics that are suitable for data scientists, business analysts, IT staff and business users, and explore the potential of Advanced Reporting Tools, Contact Us now.

Simplify and Improve Analytics with Self-Serve Data Prep!

Self-Serve Data Preparation Transforms Business Users to Citizen Data Scientists!

Data Scientists spend a lot of time gathering and preparing data for analysis, and that is time they could spend more productively performing tasks that add value and strategic direction. Business users cannot even hope to prepare data for analytics – at least not without the right tools.

Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ So, why is there so much attention paid to the task of data preparation? It’s simple. Because, without the right preparation, analytics can produce incomplete, incorrect results, thereby sending the business off in the wrong direction and resulting in a loss of confidence in analytics for decision-making.

‘Self-Serve Data Preparation can benefit your business users and help to transform them into Citizen Data Scientists.’

When an enterprise chooses the right self-serve data preparation tools, it can confidently use these tools to prepare for and execute analytics that will result in concise, clear results that benefit the organization, its users and its customers and stakeholders.

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for IT.

Self-Serve Data Prep Provides Numerous Benefits

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like:

  • Connect and Mash Up
  • Auto Suggesting Relationships
  • JOINS and Types
  • Sampling and Outliers
  • Exploration, Cleaning, Shaping
  • Reducing and Combining
  • Data Insights (Data Quality Index)
  • Data Lineage and Collaboration
  • Data Searching, Profiling and Cataloguing

Users can:

  • Test hypotheses, visualize data and create and share reports with others, thereby encouraging collaboration, data sharing and data literacy
  • Prepare and work with data without advanced data science or analytical skills
  • Grow data skills and confidence and transform into Citizen Data Scientists
  • Significantly improve data quality with machine learning and statistical tools that are easy-to-use
  • Prepare data for visualization and analysis quickly and easily
  • Remove irrelevant, out-of-date and inappropriate data before analysis
  • Create and re-use datasets with contextual metadata
  • Move data into analytics system without waiting for assistance from the IT team

‘Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading.’

Find out how Self-Serve Data Preparation can benefit your business users and help to transform them into Citizen Data Scientists, and how it can provide an advantage to your data scientists, business analysts and IT team members.

Self-Serve Data Preparation Improves Results!

Include Self-Serve Data Preparation in Your Augmented Analytics Solution!

Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.

Increase Team Member Value with Augmented Analytics!

Make the Most of Your Team Member Skills with Augmented Analytics!

Every business owner and manager understands the problem of limited resources. Today, you have fewer team members and you must do more to compete in the market. To enhance productivity and collaboration and ensure that every team member is making better decisions, it is wise to implement augmented analytics within your organization.

Employ BI Tools and Augmented Analytics for Business Users!

Business Intelligence and Augmented Analytics Go Hand in Hand!

Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.

Case Study : Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis

Case Study - smarten-integrates-r-scripting-gujarat-environment-management-institute-gemi-predictive-analysis

Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India. The Client team is engaged in assuring sustainable development, and provides research to measure and gauge the impact of various human, economic and industrial activities on the environment. GEMI is focused on developing standards for prevention of negative environmental impacts and performs lab testing on air, water, wastewater, microbiology and soil.

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Leverage Self Serve Data Preparation for All Users!

Self Service Data Preparation Makes Data Accessible to Business Users!

Preparing data for analysis used to be a long, difficult process performed by IT or data scientists. Needless to say, that process meant that business users could not get the job done. They were forced to make a request, wait for the process to be completed and then, more than likely, for the same team to actually perform the analysis. If the data prep was not accurate or was incomplete, the process starts all over OR produces poor results and, in many cases, those poor results are not obvious to the business user. What does that mean? It means that the business is using information and results that they do not know are wrong!

Self-Serve Data Preparation Prepares You for the Future!

Don’t Be Afraid of Self-Serve Data Preparation! It’s Easy. You Can Do It!

Oh, the mysterious world of data preparation! It is daunting and confusing and…wait, no! It doesn’t have to be. If you aren’t employed as an IT professional, a business analyst or a data scientist, you probably see this arena as confusing and intimidating and you probably want nothing to do with data preparation. BUT, when you need a report, or you have to provide a recommendation to your boss in a staff meeting, you desperately need that data and that analysis, don’t you?

Give Your Business Users Simple Augmented Analytics!

Business Users Don’t Have to Be Data Scientists (But Basic Knowledge is Great)

When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor!  But, it is important to understand that the right augmented analytics solution can provide the structure and foundation for business users without requiring them to have a sophisticated knowledge of algorithms and analytical techniques.

Self-Serve Data Prep and ETL for Business Users!

Self-Serve Data Preparation and Self-Serve ETL!

Why is Self-Serve ETL and Self-Serve Data Prep Important?

If your business spends a lot of time and money on the task of extracting, transforming and loading data (ETL) and preparing that data for analysis, you might want to consider the advantages of self-serve data ET. Self-Service ETL can and should be easy enough for business users so that your business can enjoy the benefits of advanced analytics without hiring a team of data scientists or IT professionals.

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