The best industrial analytics software is a solution to a growing need for a comprehensive tool. It allows users to take the data around them and reveal hidden insights that can truly make an impact. This is one of the best software tools availa…
Industrial analytics software collects and analyzes data from the field. It integrates all aspects of your business from plant-floor operations to corporate performance. It provides a single, integrated platform for generating operational insights and sharing those insights throughout your organization.
Manufacturing is a process of constant improvement. Manufacturing analytics software enable companies to drill down on manufacturing data to find optimization opportunities.
Manufacturing Analytics and IIoT in factories is predicted to have $3.9T to $11.1T market size by 2025.
Software leaders such as IBM, SAP and industrial automation experts such as GE and Siemens have developed manufacturing analytics solutions. Additionally, startups are combining manufacturing domain expertise and software capabilities to build new solutions.
An important criteria in manufacturing analytics software is data integration capabilities. Industrial systems use a wide variety of data formats and communication standards, therefore it makes sense to check integration capabilities of your potential manufacturing analytics solution to ensure that your physical machines’ data can be fed into the manufacturing analytics software.
R
R is now one of the most popular analytics tools in the industry. It has surpassed SAS in usage and is now the Data analytics tool of choice, even for companies that can easily afford SAS. Over the years, R has become a lot more robust. It handles large data sets much better than it used to, say even a decade earlier. It has also become a lot more versatile.
1800 new packages were introduced in R between April 2015 and April 2016. The total number of R packages is now over 8000. There are some concerns about the sheer number of packages, but this has certainly added a lot to R’s capabilities. R also integrates very well with many Big Data platforms, which have contributed to its success.
Python
Python has been one of the favorite languages of programmers since its inception. The main reason for its fame is the fact that it’s an easy-to-learn language that is also quite fast. However, it developed into one of the powerful Data analytics tools with the development of analytical and statistical libraries like NumPy, SciPy etc. Today, it offers comprehensive coverage of statistical and mathematical functions.
Increasingly, we are seeing programmers and other tech folks moving into analytics. Most of these guys are already familiar with Python, and therefore, it has become a Data analytics tool of choice for many data scientists.
Apache Spark
Spark is another open-source processing engine that is built with a focus on analytics, especially on unstructured data or huge volumes of data. Spark has become one of the tremendously popular Data analytics tools in the last couple of years. This is because of various reasons – easy integration with the Hadoop ecosystem being one of them. Spark has its own machine learning library, which makes it ideal for analytics as well.
Apache Storm
Storm is the Big Data tool of choice for moving data or when the data comes in as a continuous stream. Spark works on static data. Storm is ideal for real-time analytics or stream processing.
iTechArt
iTechArt is a custom software development company helping both startups and enterprises streamline and future-proof their analytics process. iTechArt’s dedicated teams build user-centric and tailor-made solutions empowering clients to harness the power of the insights gathered from billions of interactions.
Founded in: 2002
Employees: 1800+
Location: New York, USA
Core services: Real-time data analysis and predictive analytics expertise, behavioral analytics, etc.
Clients: Braavo, Rally, StellaService.
DATAPINE
KEY FEATURES:
Visual drag-and-drop interface with an easy switch to advanced SQL mode
Powerful predictive analytics features and interactive charts and dashboards
Intelligent alarms that are triggered as soon as an anomaly occurs
datapine is a popular business intelligence software, that is focused on delivering simple, yet powerful analysis features into the hands of beginners and advanced users that need a fast and reliable online data analysis solution. An effective user interface will enable you to simply drag-and-drop your desired values into datapine’s Analyzer and create numerous charts and graphs. If you’re an experienced analyst, you might want to consider the SQL mode where you can build your own queries but also easily switch back to the visual mode. Another crucial feature is the predictive analytics forecast engine. While there are numerous predictive tools out there, datapine’s provides simplicity and speed in its finest. By simply defining the input and output of the forecast based on specified data points and desired model quality, a complete chart will unfold together with predictions.
We should also mention robust artificial intelligence that is becoming an invaluable assistant in today’s analysis processes. Neural networks, pattern recognition, and threshold alerts will alarm you as soon as a business anomaly occurs so you don’t have to manually analyze large volumes of data – the data analytics software does it for you. Easily share your findings via dashboards or customized reports for anyone that needs quick answers to any type of business question.
Xplenty
Xplenty is an IT and services company that provides a data integration platform. It can bring all your data sources together. It can be connected with online analytical data sources like AWS Redshift and Google BigQuery.
It offers solutions for marketing, sales, customer support, and developers. Xplenty solutions are available for retail, hospitality, and advertising industries.
Xplenty’s marketing solution has features of data enrichment, targeted communication, personalized emails, smart segmentation, etc. Its solution for customer support will help you to know about the business strategies that need improvement. Its sales solution will provide effective analytics.
Founded in: 2012
Employees: 11-50 employees
Locations: US and Israel.
Core Services: Data Integration, ETL, ELT.
Other Services: Business Intelligence, Big data, Hadoop, etc.
Revenue: $1-$5 Million.
Features:
- Xplenty provides an elastic and scalable cloud platform.
- It can be used to run simple replication tasks as well as complex transformations.
- It provides support through email, chats, phone, and online meetings.
Pricing Information: Xplenty follows a subscription-based pricing model. You can get a quote. It offers a free trial of 7-days for the platform.
PIG and HIVE
Pig and Hive are integral Data analytics tools in the Hadoop ecosystem that reduce the complexity of writing MapReduce queries. Both these languages are like SQL (Hive more so than Pig). Most companies that work with Big Data and leverage the Hadoop platform use Pig and/or Hive.
QlikView
Qlikview and Tableau are essentially vying for the top spot amongst the data visualization giants. Qlikview is supposed to be slightly faster than Tableau and gives experienced users a bit more flexibility. Tableau has a more intuitive GUI and is easier to learn.
Conclusion
Industry Analyzer seeks to find and ignite the best opportunities within your business. Those hidden behind mountains of data and black holes of analysis. We aim to solve the ‘big’ problems that most companies struggle with daily.