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February 19, 2021

Leaders And Analytical Tools – What Should They Use?

Leads need analytical tools to comprehend data and evaluate their team performances. Leaders and analytical tools go hand in hand to ensure productivity.

For many leaders around the world, resources are scarce and they either find a way to get them or they lose out. While resource acquisition is a viable strategy, resource management will make sure that for every unit of resource you gain, you make more of it than you would lose. And because of the pandemic, it is especially important that the analytical tools all leaders should use this year would be focused on helping you find the best logistics solutions for the problems brought about by lockdowns and social distancing policies. For your convenience, we have compiled a list of a few tools that will help you do just that.

Apache Spark

As an open-source data processing tool, Apache Spark is one of the most important analytical tools all leaders should use this year. It can analyze data sets that require massive amounts of parallel computing. And furthermore, by using the Spark Streaming service, you can even deploy your analysis using data centers connected either via LAN or through a cloud service.

The possibilities with Apache Spark are endless. However, do bear in mind that it takes more expertise to do this than with other analytical tools. While it is nonetheless free, you will still need to hire people who are knowledgeable about it. Despite being true to all analytics tools, Apache tools are not beginner-friendly and are mostly dedicated to those who already know what they are doing.

Apache Flume

If you do end up using Apache Spark, however, you should also get the Apache Flume. This is a freely distributed data management tool that lets you gather and move huge amounts of data across data processing centers. In case of failures, this system lets you continue doing analyses with little to no problems, making it a robust, fault-tolerant system.

Microsoft Office 365

On the other hand, an easier yet commercial solution is to use Microsoft Office 365 to help you analyze data. Since most business systems use a Microsoft Office package on their Windows systems, using these can be relatively cost-effective. Using Microsoft Office Excel, you can make automated graphs that update as soon as you enter new data into the fields.

However, you do run these at the cost of losing the analytic complexity of other tools. Unlike Apache Spark, you will not be able to analyze incredibly large data sets, making sophisticated projects such as machine learning and AI-powered services impossible.

Tableau

If you do need the extra data processing power despite also wanting ease of use, then you will be better off using the Tableau Data Management Software. This system brings automated visual analysis as an output, letting you see all your data in neat, easily-readable graphs. It is also available to various viewers, letting you access the data in almost all market-grade laptops, tablets, and even smartphones. You can host your data in the Tableau Server so you can access it anywhere there is an internet connection.

The main problem with Tableau, however, is with its pricing. For an individual user, the price tag can be too high, especially if you only have small funding for analytics tools. Tableau is better suited for organizations with larger analysis teams that use the system in real-time as opposed to smaller teams.

QlikView

With almost similar services, QlikView brings you great data analysis at a lower cost. It is without a doubt one of the best analytical tools all leaders should use this year. And if you pay for a premium price, QlikView can bring AI-powered analytics and IoT systems into your business, giving you more power to analyze much larger data sets and easily improve their precision. QlikView also has a free data analytics training program that trains you how to use their QlikView software.

On the other hand, more complexity means it can be harder to use QlikView just as you would with Apache Spark. You would need to train yourself or an employee just to bring its benefits down into the corporate managing table. And while QlikView can be much cheaper than Tableau with its basic plan, the price can skyrocket if you want more analytics power from it.

Fortunately, all the premium products in this list come with a free trial to let you test out their capacities. With this, you can judge for yourself which data analytics tool you should invest yourself in. For all they are worth, these are the best analytical tools leaders should consider using in the future.

 

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