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Top 7 Data Science Platforms to Choose From in 2020

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Top 7 Data Science Platforms to Choose From in 2020

Lack of collaboration between team members could be a frustrating experience as could be spending time maintaining your models after deploying them.

These reasons among others could mean the need for adopting data science platforms and having to choose the right platform from a host of available packages in the market.

“Various organizations keep floating data science platforms to simplify machine learning workflows. However, in the ever-changing data science landscape, only a few draw the attention of practitioners,” says a report.

Here is a list of top 7 data science platforms available for use in 2020.

Databricks

“Built by the founder of Apache Spark, Databricks provides a unified analytics platform that allows data scientists to manage end-to-end machine learning workflows.

The one-size-fits-all platform not only enables practitioners to explore, visualize and build superior machine learning models, but also allows them to scale it quickly with the help of collaboration.”

DataRobot

DataRobotassists companies to automate the workflows of machine learning through its feature-rich solutions and it constantly strives to enhance its platform by either acquiring various companies, or by developing in-house solutions.

“Apart from assisting the regular analytics workflows”, DataRobot is among the best in the AutoML arena.

Apache Spark

“Apache Spark is an open-source unified analytics engine for large-scale data processing and analyzing. It is similar to HadoopMapReduce; it works on cluster computing, but due to exceptional speed – which is believed to be 100x faster in memory and 10x faster on disk than Hadoop – it has become popular among data scientists.”

Dataiku

This is yet another reputed enterprise AI and machine learning platform that “helps businesses in minimizing data processes to expedite the development of machine learning-based solutions”.

The platform helps companies in bringing together data analysts, engineers, and scientists to achieve shared goals through collaboration. “It also provides instant visual and statistical feedback on model performance to manage models’ lifecycle effectively”.

IBM Cloud Pak for Data

“Built on Red Hat OpenShift container platform, IBM Cloud Pak for Data is a fully-integrated AI platform to meet the changing needs of enterprises. It allows data scientists to unlock insights and eliminate data silos quickly.

The platform has a high degree of enterprise readiness and delivers business value by enabling practitioners to integrate with other platforms using APIs.”

Alteryx

“Alteryx is a self-service analytics platform that can be utilized across organizations to democratize data. The platform caters to every need of analytics professionals, such as business intelligence, data analyst, data scientist, and non-experts to assist them in quickly solving business problems. It supports analytics modelling without code and advanced modelling with algorithms.”

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TIBCO

TIBCO Software acts as a foundation for digital innovation for data-driven companies. “Integration among platforms has been one of the longest standing predicaments for organizations.”

“Thus, TIBCO offers a suite of products like Connect, API-Led Integration, Data Fabric, Unify, Data Science & Streaming, and more, to eliminate challenges for a streamlined data science workflow.”

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Alteryx is Inclined to Make Things Easy

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Alteryx is Inclined to Make Things Easy

Alteryx Analytics is primarily looking to ease the usability of the platform in all of the updates that are yet to come. The esteemed data analytics platform is concentrating on reducing the complexities to attract more users and thus, widen their age-old user base beyond that of the data scientists and data analytics professionals.

Alteryx is headquartered in Irvine, California. It was founded as SRC LLC in 1997 and comes with a suite of four tools to help the world of data scientists and data analysts to manage and interpret data easily. Alteryx Connect, Alteryx Designer, Alteryx Promote and Alteryx Server are the main components of the analytics platform of Alteryx. Thus, it is worth mentioning that the Alteryx Certification Course is a must if you are looking to make a career out of data science/data analytics.

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A Quick Glance at the Recent Updates 

The reputed firm launched a recent version of Alteryx 2019.3, in October, and is likely to release the Alteryx 2019.4 as a successor to it. The latter is scheduled for a December release.

What’s in the Update?

Talking about the all-new version Alteryx 2019.3, Ashley Kramer, senior vice president of product management at Alteryx, said that the latest version promises 25 new and upgraded features, all of them focussing on the user-friendliness of the platform at large.

One of the prominent features of the new version is a significant decrease in the total number of clicks that a user will take to arrive at the option of visualizing data to make analytic decisions.

Data profiling helps the users to visualize the data while they are working with it. Here, Alteryx discovered a painless way to work with data by modeling the bottom of the screen in a format similar to that of MS Excel.

All of these changes and additions are done keeping in mind the features that the “customers had been asking for,” according to Kramer.

Now, with the December update, which will come with an enhanced mapping tool, the Alteryx analytics will strive to further lower the difficulties surrounding the platform.

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If you are interested in knowing all the latest features, it is better to join one of the finest AlterYX Training institutes in Delhi NCR, with exhaustive Analytics Courses in Delhi NCR, along with other demanding courses like Python for Data Analysis, R programming courses in Gurgaon, matchless course of Big Data, Data Analytics and more.

 
The blog has been sourced from ― searchbusinessanalytics.techtarget.com/news/252474294/Alteryx-analytics-platform-focuses-on-ease-of-use
 

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ThoughtSpot-Alteryx Partnership to Revolutionize Analytics with AI

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ThoughtSpot-Alteryx Partnership to Revolutionize Analytics with AI

ThoughtSpot has recently partnered with Alteryx to boost analytics endeavors with AI.

The aim is to transform businesses through systematic data analytics simplifying the entire process for business users. Right from data preparation to insight generation, Alteryx in association with ThoughtSpot is expected to perform advanced analytics, evaluate meaningful insights and answer relevant questions – all using an all-natural, simple language search.

Constructing Business-driven Data Analytics Pipeline

Data is everywhere. Small and big business houses leverage the power of data science and invest large amounts in technologies that transform industries. Nevertheless, there are still many organizations that fail to put this data into the right hands. Data matters the most for business people. They are the ones who drive the change and data needs to reach them.

The latest collaboration between Alteryx and ThoughtSpot has re-conceptualized the whole idea of data pipeline by empowering every single business person, irrespective of their technical superiority, to connect, evaluate and model intricate data using Alteryx and then immediately start discovering insights using search and AI-driven analytical frameworks by ThoughtSpot. The amalgamation comes with a set of new tools that let Alteryx users add original ThoughtSpot Bulk Loader connections and ThoughtSpot TQL statements directly into a workflow of Alteryx.

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This system automatically offers several advantages to the businesses, including:

  • Connect, modify and model intricate data in a fraction of a second – The users can now collect data from their organization with the help of a high throughput fast parallel loader, transform it and then model it for further analysis more efficiently than before.
  • Faster results – Business users enjoy the liberty to work with data that matters the most, apply sophisticated analytical tools and unravel crucial automated insights while releasing valuable analytical resources that can be employed in other high-value and strategic projects.
  • Advance with AI – The users get to develop machine learning and AI models in an absolutely code-friendly and code-less environment. Later, they can use search to absorb and share insights derived from these models.

The Leaders’ Opinions

On the above context, Toni Adams, Vice President, Global Alliances & Partnerships at ThoughtSpot shared that today’s enterprises cannot afford to wait for days in the hope of putting insights in the hands of the business users. The business users need to be empowered with every mean to churn out insights directly from the most complex data. Fortunately, the recent partnership is likely to change the complete dynamo of data pipeline by transforming every employee of an organization into a data-driven powerhouse capable enough to derive insights instantly. This will eventually make operations simpler and productive.

Furthermore, Steve Walden, Senior Vice President of Business Development, Alteryx emphasized that they believe in strengthening business capabilities by empowering every data worker of the organization. These workers, in turn, will transmute data into actionable insights faster and tweak business outcomes. The partnership with ThoughtSpot is expected to enhance ease-of-use throughout the entire analytics pipeline and unleash unprecedented value for every joint customer.

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About Alteryx

Transforming businesses through data analytics, Alteryx is a reputable end-to-end analytics platform that entitles data analysts to connect, deliver powerful insights and witness the thrill of deriving answers pretty faster. For more information, click www.alteryx.com.

A premier data analytics training institute, DexLab Analytics offers comprehensive Alteryx certification training in Delhi. Through hands-on training and real-life examples, the expert consultants help you master the intricacies of Alteryx for complex data analytics. Enroll Now.

 

The blog has been sourced from: www.marketwatch.com/press-release/thoughtspot-partners-with-alteryx-to-advance-analyticswith-ai-2019-03-14

 

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Know the Difference between Alteryx and Tableau

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Know the Difference between Alteryx and Tableau

Alteryx and Tableau are two leading software products in the realm of data science with broad application. Both are pivotal in the analysis of data and obtaining important insights. But what is the specific role of each product in an enterprise? Are the products complementary or incompatible? Will using them jointly enhance performance? Read on to find out.

Function of Alteryx:

In general, data preparation takes up a major portion of an analyst’s time. Before the data can be analyzed, it needs to be prepped, which involves many humdrum tasks such as combining data sources together and changing the format of data. This process of readying the data in a format appropriate for analysis is called ETL, short for Extract, Transform and Load.

Alteryx is a top software product for simplifying the ETL process. It offers a large array of tools for handling data. From importing data from various sources to getting it ready for analysis work, Alteryx provides a tool for every task. After modifying the data, you can use Alteryx tools with advanced statistical capabilities to perform sophisticated analyses, like predictive analytics and time series forecasting.

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Function of Tableau:

Tableau is renowned as a useful data visualization tool, performing a distinct role in the world of data analytics.  Tableau helps transform data into charts and dashboards, revealing useful insights contained in the data. High-quality charts can be created with Tableau, which in turn leave an impactful impression on the audience.

Combination of the Two Tools:

Tableau and Alteryx complement each other really well. Alteryx comes in very handy in converting data into operable format, but it has limited capacity to display data before an audience. Tableau effectively fills this void. On the other hand, Tableau is unparalleled at data visualization, but is lacking in the field of data preparation, especially areas requiring advanced analytics. Hence, the combination of the two tools adds value to the overall task.

In a nutshell, Alteryx simplifies the tedious preparation process of data analysis and Tableau makes the explanatory part of analysis more enjoyable.

Who works with these products?

A good thing about Alteryx and Tableau is that they are user-friendly and hence, don’t demand advanced technical expertise. They contain easy-to-use drag and drop interfaces. So, data analysts with different levels of skill and experience are comfortable working with these tools.

However, these two software products are market leaders and that reflects in their cost. They are quite pricey and can be afforded only by companies greater than the average ones. It makes sense; because these companies generally work huge volumes of data and have the financial power to afford high-level analytics tools like these.

For companies with smaller budgets, Power BI can be an alternative to Tableau, but its functionality will not be at par with Tableau. In case of Alteryx, there isn’t a clear alternative. R and Python are typically used by businesses, but these are coding languages demanding high levels of skill.

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Concluding Note:

Alteryx and Tableau are both leading products in the analytics industry, the former deals with data preparation whereas the latter deals with visualization. Together they boost up business operations. Affordability might be an issue for many organizations, but if you’re looking for the best products in the market, you cannot go wrong with Alteryx and Tableau.

Looking for ways to upskill and get a hefty pay hike in your analytics career? Check out the courses offered by DexLab Analytics. The faculty, comprising industry experts, provides professional certification courses in a number of key areas, like Tableau, credit risk modeling and more!

Reference: blog.kubicle.com/what-is-the-difference-between-alteryx-and-tableau

 

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Alteryx and Its Popular Use Cases

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Alteryx and Its Popular Use Cases

Alteryx, a quick-to-implement data analytics tool, allows data analysts and scientists to work out business problems with unprecedented speed. This end-to-end platform enables data professionals to carry out diverse activities. With Alteryx, it’s possible to create a repeatable workflow in order to automate data tasks done manually. It offers intuitive interfaces, both code-friendly and code-free, for analytics modeling. While some data analysts value the predictive modeling, applications development and geospatial tools offered by Alteryx, others depend on it for data enrichment. The Alteryx Designer allows one to organize, blend, match and analyze data from a variety of sources that include flat files, APIs and much more.

Alteryx is very popular among business users as it provides a unified analytics experience for the entire enterprise. Below are two popular use cases where organizations have implemented Alteryx and achieved measurable results.

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Schneider Electric improved sales operations efficiency with Alteryx

Schneider Electric is an energy management consultant involving over 150,000 employees and operations in over 100 nations. They were seeking out newer and improved ways to identify top customers with excellent revenue potential and deploy sales resources proficiently. Managing manual processes and plenty of sources of dissimilar sales data, customer data, market data, company financials, etc., is quite a task. Naturally, this overwhelmed the Business Analytics team, slowing down the process of obtaining valuable sales-oriented insights and delaying decision-making too.

As a way out for the account selection process, they resorted to Alteryx and came up with an integrated analytics solution. This hugely sped up the generation of the high-revenue customer list. Alteryx automatically gathered and blended third-party and in-house data, and provided insights in half the time as required by the sales team previously.

Better Insights: Alteryx enriched data quality and included a higher number of data sources. Hence, sales managers got the necessary inputs to optimize deployment of sales resources on main customer profiles.

Hours vs. Weeks: Alteryx helped deploy resources to the right customers with great speed. The analysis time was brought down to three weeks from eight weeks.

Intuitive Workflow: Productivity as well as time-to-insight improved because Alteryx permits analytical applications to be shared between analysts.

AAA National used Alteryx for analyzing customer profiles, resulting in improved servicing

AAA National, a reputed alliance of motor clubs all over North America, wanted a better strategy so that member clubs can sell extra products to active members. Moreover, new members had to be located in each territory and brick-and-mortar offices were to be optimally placed depending on the demographics and drive-times of customers. However, each club handled their own data and aggregating all the information was quite a challenge for Database Administrators. Often, the data would be incomplete or erroneous.

Alteryx Analytics with integrated spatial analysis was implemented to generate self-explanatory drive-time maps along with reports. This enabled member clubs to form a clearer understanding of their membership base and also improve response times and staffing pertaining to the enterprise’s emergency roadside service.

Better Insights: Facilitated a clearer understanding of purchase history and demographics of club members, improving branch location decisions and marketing campaigns of the clubs.

Hours vs. Weeks: Previously, the time taken to generate a precise data set for analysis work took over three days; this time came down to two minutes.

Intuitive Workflow: There was no longer any need to use four kinds of tools to check membership requests. A single tool was sufficient for data blending, improvement and spatial analysis, reducing errors and saving money and time.

Feeling inspired to employ Alteryx concepts like insightful dashboards, data blending and intuitive workflows? Look up Alteryx Training Institutes in Delhi NCR. DexLab Analytics offers advanced Alteryx certification courses best suited for data professionals looking to build a lucrative career in this field.

 

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