Analance

Grand Island, NY, USA
2004
  |  By Fiona Villamor
With contributions by Anwar Haq and George Alifragis Ransomware has grown to become a significant threat to organizations today, no matter the size or industry. Cybercriminals are exploiting vulnerabilities in small businesses and enterprises alike, creating short-term and long-term damage that can impact everything from your employees’ productivity to your relationship with customers.
  |  By Fiona Villamor
With the shift to distributed workforces and digital business models, cloud infrastructure and tools have become indispensable to the modern enterprise. But this growing reliance on the cloud also comes with a corresponding increase in security risks and breaches. The question is: When it comes to protecting public, hybrid, or multi-cloud environments, who should take ownership, the organization in question or the cloud service provider (CSP)?
  |  By Fiona Villamor
It’s been over a year since enterprises around the world had to pivot and transition to work-from-home setups. While some employees are slowly trickling back into the office, majority of organizations have people working both onsite and offsite. This modern workforce has brought out an increasing reliance on cloud infrastructure, an essential tool for collaboration and business continuity. Technology like this isn’t without its risks though.
  |  By Fiona Villamor
Machine learning models are often used for decision support—what products to recommend next, when an equipment is due for maintenance, and even predict whether a patient is at risk. The question is, do organizations know how these models arrive at their predictions and outcomes? As the application of ML becomes more widespread, there are instances where an answer to this question becomes essential. This is called model explainability.
  |  By Fiona Villamor
As organizations refocus and restrategize this year, machine learning projects seem to be on the top of IT priority lists. Innovation is more important than ever, and this has led to higher spending, increased hiring budgets, and a wider range of ML use cases. Despite this, organizations are facing challenges in actually deploying machine learning models at scale. A lot of models are never operationalized, or if they are, the process to production takes too long.
  |  By Fiona Villamor
The new normal brought digital commerce to the forefront, with customers preferring remote sales, online ordering and payments, and contactless purchases. The question is, are organizations equipped to cater to these constantly evolving buyer habits? Let’s see how the right solution and strategic application development can help fuel growth in the digital economy.
  |  By Nitin Mistry
Unless you've been living on Mars for the past few years, I'm sure you’ve heard the buzzword “microservices”, also known as microservices architecture. A distinctive development approach, this natural evolution in software engineering came about due to the ever-increasing complexities of enterprise applications. Traditional applications are usually monolithic in design, which makes them bulky and very difficult to adapt to the changing needs of the business.
  |  By Fiona Villamor
In 2020, companies across countries and industries scrambled to stabilize operations, ensure the health and safety of employees, and find ways to continuously deliver. But in the wake of all this uncertainty, one thing remains crystal clear: customer engagement is more crucial than ever. After all, with uncertainty comes doubt. Customers may be on edge, and they need reassurance that organizations will continue to meet—and exceed—their expectations.
  |  By Asha Thobias
Service Level Agreements (SLAs) are commitments given to customers in relation to the product or service being provided. If breached, not only are organizations expected to compensate through penalties and credit fees, but they can also face a significant dip in brand reputation and loss of customer trust. This is why preventing SLA breaches is a top priority for any customer-facing organization. To stay on top of breaches, agents traditionally check the ticket status of each incident manually.
  |  By Fiona Villamor
While originally a crisis response to enable business continuity, flexible work options are starting to define the modern workplace. Organizations around the world were thrust into digital transformation almost overnight, but it looks like the trend of remote working arrangements is going to continue in 2021.
  |  By Analance
The All New Analance - Your end to end data solution partner was launched with the grand logo unveil and many more events to mark the celebration. Catch the product engineers being awarded for their contribution towards building this Next Generation tool.
  |  By Analance
This video shows how to create a Data Analysis and the inferences Analance Advanced Analytics offers.
  |  By Analance
This video unveils the concepts of Data Analysis, Models and Scoring in a Business Challenge. Watch the video to understand the basics of Analance Advanced Analytics.
  |  By Analance
This video shows how to score a model to predict new records for its outcome based on the pattern learnt by the model.
  |  By Analance
This video shows how to create a model for classification by using Analance Advanced Analytics out of the box Machine Learning Algorithms and explore the insights it provides.
  |  By Analance
This video will show how to create a dashboard easily with a grid canvas, drag and drop created sheets and edit them on the fly.
  |  By Analance
This video will show how to create a dashboard using a free flow canvas and align the sheets with options of info-graphics.
  |  By Analance
This video will show how to configure and customize sheets to the branding and other required specifications.
  |  By Analance
This video will show how to create a workbook and add visualizations to the workbook for the created datasource.
  |  By Analance
This video will show how Analance can seamlessly connect to files as sources to create a datasource which can be used for reporting/analysis.

Analance is a robust, scalable end-to-end platform that combines Data Science, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform.

Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. Analance empowers organizations to use data for storytelling that better communicates data findings and opportunities to decision makers across various industries and departments.

Get a demo of Analance or take it for a 30-day test drive.