Data Preparation reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.
Products classified in the overall Data Preparation category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Preparation to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Preparation category.
In addition to qualifying for inclusion in the Data Preparation Software category, to qualify for inclusion in the Enterprise Business Data Preparation Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.
Alteryx is the launchpad for automation breakthroughs. Be it your personal growth, achieving transformative digital outcomes, or rapid innovation, the results are unparalleled. The unique innovation that converges analytics, data science and process automation into one easy-to-use platform, empowers everyone and every organization to make business-altering breakthroughs the new status quo. Visit Alteryx.com for more information, and to start your free trial.
At Trifacta, we’re focused on building software that helps individuals and organizations unlock the potential of their data by providing a new approach to how data is explored and prepared for analysis. Whether you’re trying to improve the efficiency of an existing analysis process or utilize new sources of data for an analytics initiative, Trifacta’s data wrangling solutions will empower you to do more with data of all shapes and sizes.
An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Altair can automate preparation tasks for expedited
Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises scale data science operations across the lifecycle--simplifying the process of experimentation to deployment, speeding up data exploration and preparation, as well as model development and training. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same
Incorta is an industry-leading, self-service data analytics solution that helps leading enterprises unleash the full potential of their complex data, gain insights previously thought impossible, and do it in record time at reduced cost. Via a combination of in-memory analytics and our own proprietary Direct Data Mapping, Incorta delivers unprecedented speed, durability and scalability — all within an open data storage and management environment. It’s not only our modern approach to data manage
Seamlessly access more than 50 data sources both on premises and in the cloud and switch between these data sources with near-zero transition times. Connect, query and prepare data for faster business insights. Easy data profiling and cleansing, simplified data federation slashes up to 50 percent of your time to routine data delivery and enables you to take a huge leap in being more data driven.
Datameer is a leading provider of data management software for analytics that gives analysts universal access to the data they need when they need it for faster analytics. Datameer Spotlight enables business teams to discover, access, collaborate and analyze more data without complex data replication and movement, while Datameer Spectrum is a cloud-native, fully-featured ETL++ platform that turns raw data into analytics-ready datasets in an easy, code-free manner. Datameer is a trusted platfor
The amount of data companies collect is staggering. Even a mid-sized business can easily generate millions of raw data points about their customers, their business and their technology’s performance. As a company’s analytics multiply, proper data management can become an insurmountable task for even the most seasoned data prep expert — not to mention companies without a specialist on hand. Data preparation tools are designed to rummage through this pile of data, and aggregate relevant insights for users. These tools are increasingly useful and necessary for businesses with an endless influx of large data sets. These tools help draw valuable conclusions about important data points through the noise of excess information.
A popular term for this process is called data wrangling. Data wrangling evokes the full capabilities of these tools. They have the ability to mine useful, relevant analytics from an overwhelming stream of different data sources. Modern businesses need to make timely, critical decisions in response to the diverse insights generated by these tools. These tools compile analytics about product users, sales numbers, system performance, and so much more in real time. The tools in this emerging space help streamline the data preparation process, gleaning precise information from large data sets. As a business’s data continues to pile up, data prep tools enable users to find important data points with the push of a button. This way, companies can leverage actionable insights immediately without sorting through hours of data.
Key Benefits of Data Preparation Software
In the early days of analytics, a small team would be responsible for manually preparing data — managing quality assurance for an entire company’s database, and pulling together actionable insights. This is still the case for thousands of organizations across multiple industries. As technology grows more advanced, the volume of unstructured data has grown immensely. People generate more data than businesses know what to do with, creating a unique and unprecedented challenge for data science experts and executives trying to make sense of the analytics. Data prep technology was created out of this growing necessity, with the ability to pick through massive amounts of unstructured data and present only the data points that matter for a given scenario. This relieves IT specialists of this strenuous task, and makes an impossible amount of data more digestible.
In addition to finding, profiling, and combining data based on user specifications, certain solutions in this category assist with data transformation, or converting data types into different forms or structures for analysis purposes. This creates a unified view of the most relevant analytics for convenient analysis and eventual exporting into external systems. Just as the amount of data has increased in recent years, so has the variety of data types, formats, and sources. Data preparation platforms work to identify or profile the most valuable data across these various types and deliver it in a way that is most useful for each new scenario. These advanced tools can save employees time while creating opportunities with data that were previously unattainable, especially if a business has a large portfolio of data sources.
The solutions in this category are particularly useful for companies with a substantial pool of data and a complex network of data sources. For smaller companies in certain industries, data prep may still be a manual process that does not require new technology. However, since many organizations utilize various types of software and third-party partnerships, they generate mountains of data on a daily basis. As a result, more and more businesses are eligible for these tools.
The following teams or individuals are most likely to use these solutions in a given organization.
IT specialists — If a company has an IT department, these employees are the most logical choice for general data and test data preparation. IT specialists already have a comprehensive view of the computer systems and software platforms used across an organization. They may already be the primary owners of analytics tasks such as data enrichment and data cleaning. The analytics platforms featured in this category empowers IT specialists to expedite the quality assurance process and create clean data sets for internal use or to be shared across their organization.
Data analysts and engineers — As the data realm has swelled in size, tech-forward companies have started to seek designated employees for collecting and drawing conclusions from company analytics. These data analyst roles are becoming common in organizational structures and in third-party agency settings, such as data governance services providers. Whether employed with one of these firms or on a company’s full-time staff, data specialists benefit from one of the tools in this space. In some cases, data prep will be a daily responsibility in this line of work. Pulling various sets of data for additional analysis or tests and using the results to influence business outcomes emphasizes the impact this technology can have on a given organization. The right data prep solution can be an indispensable asset for data engineers, analytics executives, and others with a strong focus on data work.
The robust tools in this software category offer a diverse range of functionalities related to the process of data preparation. The following are some prominent features of these unique offerings.
Workflow scheduling and monitoring — Depending on the intended use of these tools, employees may want to map out an automated query to prepare certain groupings of data on a regular basis. This might involve a custom data flow builder or similar user interface for customization. Using these tools, administrators can adjust the specific details of each workflow, including analytics filters, which sources to pull from, and the schedule for executing the query. A company may be able to adjust other components of the process, such as validation details and the destination for exporting finished data sets. Dashboards on some tools can help display analytics related to data prep workflows, including general efficiency and results summaries.
As a company creates data prep queries, whether for one-off events or routine workflows, a company may be able to configure the data blending and joining process as it relates to each function. Data blending is another common term used to describe the merging of analytics from separate sets into a single, cohesive group to use for drawing conclusions and continued analysis. When configuring the intelligent algorithms on these platforms, companies can specify how they want the data joined together and presented, for instance, which data type they prefer and how the data should be ordered. Whether called data preparation, data wrangling, or data blending, the solutions in this category can offer a degree of assistance with this increasingly popular business strategy, to help bring divergent analytics together for a unified purpose.
Data profiling — Once the intended analytics are pulled and organized using these tools, certain platforms can assess the data and help determine the additional purposes it can be used for. This is also known as data profiling. Some tools in this category offer more powerful profiling features than others, allowing for rich analytics and summaries about prepared data sets as they are constructed. If data profiling features are not present, a company might assign certain data analysts or other specialists to profile the finished data sets and determine the best course of action to take as results are delivered.