Halo's predictive features use comparative analysis of existing data to build "what-if" modeling for smarter supply chain optimization. Internal process scoring helps you build a complete risk assessment and foresee possible disruptions or problems. Halo is a user-friendly platform and entirely cloud-based, so you can access your data from any location and keep a close eye on your supply chain in real time. BOARD BOARD's rule-based predictive modeling is built around a responsive interface and live dashboards that update immediately to reflect changes in your data. That means you can plug in different scenarios and analyze the possible outcomes of those scenarios without having to create a new model each time. BOARD comes with a number of pre-built connectors, so you can pull dat from just about any source — your ERP system, cloud database, OLAP cube, and even flat files. You can also turn your predictions into custom apps using the BOARD toolkit. BOARD is an excellent choice for banking and insurance, retail, manufacturing, and logistics.
Altair Knowledge Seeker provides data mining, as well as prescriptive and predictive analytics and decision trees. Altair Knowledge Studio includes advanced data modeling, scorecard development, and linear regression. Altair Knowledge Studio for Apache Spark enables users to better manage and create analytic workflows. Anaconda is an open source Python and R data science platform. The tool enables you to perform data science and machine learning on Linux, Windows, and Mac OS. The product allows users to download more than 1, 500 Python and R data science packages, manage libraries, dependencies, and environments, and analyze data with Dask, NumPy, pandas, and Numba. You can then visualize results generated in Anaconda with Matplotlib, Bokeh, Datashader, and Holoviews. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources.
What Type of Buyer Are You? Before evaluating predictive analytics software, it's important to determine what you plan to use it for. Some of the most common uses of these systems are found in the following industries: Banking and financial. Predictive analytics software has been a mainstay of the banking and financial industries, namely to predict credit scores and help with fraud prevention, and continues to find broad application there today. Financial advisors are also finding predictive analytics useful in helping forecast market behavior. Retail. By providing a forward-looking analysis of customer behavior, predictive analytics can be used in retail to optimize marketing, pricing and product distribution along with sales forecasts and site selection. Healthcare. Predictive analytics is finding wide use in the healthcare industry, particularly as a means to improve patient care, help with disease prevention and improve hospital management and administration. Market Trends to Understand As you begin to evaluate predictive analytics software, there are a few important trends to be aware of: Greater ease-of-use.
Predictive Analytics allow you to take your data to the next level. Start spending 10% of your time reviewing what happened, and 90% of your time focused on what's next. Improve your budgeting process, dial in your sales forecasts, and more accurately predict customer behavior. Look to the future with predictive analytics powered by artificial intelligence and machine learning. Review top-rated software below and make an infor... Read More Predictive Analytics allow you to take your data to the next level. Review top-rated software below and make an informed purchasing decision for your business. View company profiles, compare tools side by side and read thousands of customer reviews. Easily visit different vendor websites, or watch demos right from a company's overview page. To narrow your search, try using the filter on the right to segment results by Pricing Model, Devices Supported, Business Size, etc. Read Less
Statistica Decisioning Platform Statistica provides several business intelligence tools that run parallel and work in tandem. Their Decisioning Platform uses predictive analytics to help you make smarter and more agile business decisions. By applying custom business and contextual rules (like state and local laws) and tracking patterns in your business data, the app can predict customer and market behavior and help you pinpoint business opportunities. Plug in your other Statisitica products to build full predictive models. While any industry can use this software, Statistica has a history of building fraud and risk models for the financial and insurance industries. Analytics for the Data Scientist SAS Advanced Analytics This company owns 33 percent of the predictive analytics market and boasts 40 years of experience. The company evolved from code-based analytics that were siloed in different departments to visual, self-service editors that bring advanced data analytics to beginners. Major features include: Visual graphics Automatic process map Embeddable code Automatic and time-based rules According to reviews, SAS excels at predictions and overall movement analysis and can process large data sets in a short amount of time.
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This software breaks down all the potential outcomes so you can better understand the consequences of your business decisions. Use SAP Analytics Cloud to visual changes in business performance, such as a downward revenue trend. Be Prepared for the Unknown It's impossible to predict the future, but analytics can help you anticipate potential issues and prevent worst-case scenarios. The software begins the prediction process by collecting historical data about your business, such as past sales performance or industry trends. You decide which variables to study. Next, the software analyzes the data using the parameters you set. For example, imagine you want to prepare your business for potential disasters like COVID-19. Predictive analytic tools include modeling applications to test out emergency response measures. Use your past data to simulate what would happen if there was a global disruption to your supply chain due to disasters like a pandemic. Models can also be used to study the probability of small-scale events.
RapidMiner offers a unified platform for data science teams that includes data preparation, machine learning and predictive model deployment. The product touts a community of more than a quarter-million data science experts, as well as a marketplace that keeps pace with evolving trends. RapidMiner's 60+ connectors provide access to any type of data, and users can run workflows in-memory or in-Hadoop. SAP Predictive Analytics is an on-prem product that enables users to automate the entire predictive modeling process. The product features capabilities for embedding predictive analytics into line-of-business applications and business processes as well. It includes full connectivity to big data and third-party data sources, native integration with the SAP ecosystem, and link and network analysis features. SAS Visual Analytics is available on-prem or in the cloud. Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analysis through autocharting.
If you're new to the predictive analytics market, you can use the list below to get acquainted with top vendors in three different subcategories. Which Business Intelligence solution is right for your company? Predictive Marketing Software EverString EverString offers data curation and mapping for millions of B2B accounts. All this data is combined with your site usage information and current customer profiles to build an actionable database. Basically, you tell EverString what your looking for, and the software builds matching customer segments with accounts and contacts that are most likely to convert. Once EverString builds your segments, you can customize messaging for each step in the customer lifecycle before launching a campaign, which makes this a great tool for account-based marketing (ABM) initiatives. Infer Infer's predictive modeling brings together all of your data sources to provide a complete picture of a lead's position in the sales funnel. The company reports an average conversion rate three times higher than the norm for their accounts.
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