Articles about Analytics

Linux and user data collection. Some people will decry such a thing, but they would be wrong. As long as the collection is opt-in, it is totally acceptable and in line with Linux ideology. When is it questionable? When users don't have a choice. With Windows 10 telemetry, for instance, users can opt out of sharing some data with Microsoft, but not all. And that's a problem. Even if Microsoft's intentions are pure, and designed solely with improving Windows 10, users should be able to refuse all data sharing at time of installation.

With Ubuntu desktop, Canonical has started collecting installation data, but it is doing it the right way. It shows the user exactly what data could be shared and lets them choose whether or not they want to send it. It is 100 percent optional -- the way it should be. Guess what? According to the company, 67 percent of users decided to do so. That is an impressive metric in itself. By being open and honest, Canonical achieved what I would call a successful conversion rate. Best of all, it gleaned a lot of interesting data, and it is sharing the analytics publicly.

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New research commissioned by cloud-native analytics platform Sumo Logic from 451 Research, reveals that the degree to which non-IT roles and functions are using machine data analytics for business value is growing faster than anticipated.

The findings show the more software-centric a company is, the more likely it is to have 100+ people who use machine data analytics at least once a week, indicating that these companies are recognizing the value of machine data analytics.

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The biggest challenges that businesses face when implementing AI projects relate to the handling of data as it often sits in a separate silo.

Analytics specialist Databricks is addressing this problem with a Unified Analytics Platform with new capabilities to unify data and AI teams and technologies.

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It’s past time for companies to begin their digital transformation efforts in earnest. Those companies who have taken advantage of advancements in cloud computing via Artificial Intelligence technology have been able to enhance their customers’ experience, improve decision making and impact the bottom line. We can’t underestimate the impact customer experience  will have on revenue. For example, Forrester suggesting that 30 percent of companies will see declines in customer experience performance in 2018, which will translate into a net loss of a point of growth.

Yet some companies still do not understand the urgency and potential benefits of digital transformation. Approximately one-fourth of CEOs will fail to implement timely digital transformation efforts in 2018, and they find themselves growing exponentially further behind their competitors when it comes to overall efficiency and effectiveness -- a difference that will also be apparent to customers. Additionally, 59 percent of companies remain at a "digital impasse," or an early stage of digital transformation maturity, where they have seen little benefit from their efforts. Before moving away from static dashboards to providing actionable insights can begin, building a solid data foundation -- including data quality and timeliness, harmonized data, and increased privacy and security -- is an essential first step to ensuring the success of any analytics or BI platform integration. Implementing actionable analytics in particular requires the correct groundwork for users to efficiently sift through data and utilize insights.

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The cloud is the best place to run analytics according to 83 percent of the world’s biggest companies.

A new survey for Teradata conducted by Vanson Bourne shows that by 2023, most organizations want to run all of their analytics in the cloud. But an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.

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Analytics and data science is having a major impact on the commercial world, but a new report shows that data professionals are wasting half of their time each week finding, protecting, or preparing data -- costing organizations significant amounts of money.

The research commissioned by self-service analytics company Alteryx, and conducted by IDC, surveyed 400-plus individuals performing data functions across North America and Europe.

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In the increasingly complex threat landscape faced by businesses, insiders continue to be a problem, accounting for around half of data breaches, according to a recent Forrester report.

One way that companies are combating this threat is with the use of User and Entity Behavior Analytics (UEBA). This detects abnormal behavior, adds contextual information to confirm the behavior is abnormal, and then prioritizes the riskiest insiders for analysts to investigate.

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Spreadsheets like Excel were never designed to handle complex analytics and big data tasks, but a growing demand for data insights is leading many businesses to waste effort manually handling data in spreadsheets.

A study commissioned by self-service analytics company Alteryx and carried out by IDC reveals that advanced spreadsheet users spend on average nine hours a week on repeat effort manually manipulating data, wasting €10,000 per year. Across Europe this represents, on average, two billion hours of duplicate work, costing an eye-watering €55bn per year (around $64bn).

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Remember when you used to have to call a cab and wait fifteen minutes to get a ride? Or ask a librarian to find a copy of your favorite book, then meander around as they hunt down the tome?

In the last twenty years, the internet has completely changed the way we as consumers find information, obtain products, and interact with our favorite brands.

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Details of the deals that a business has with other organizations are usually locked up in contracts or other documents such that valuable information is either not readily available or easily overlooked.

California-based Pramata is launching a suite of analytic applications that can identify critical information in existing contracts and combine it with data from business systems such as CRM and billing to benefit commercial relationships.

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Big data and analytics are topics firmly embedded in our business dialogue. The amount of data we’re now generating is astonishing. Cisco predicts that annual global IP traffic will reach 3.3 ZB per year by 2021 and that the number of devices connected to IP networks will be more than three times the global population by 2021, while Gartner predicts $2.5M per minute in IoT spending and 1M new IoT devices will be sold every hour by 2021. It’s testament to the speed with which digital connectivity is changing the lives of people all over the world.

Data has also evolved dramatically in recent years, in type, volume, and velocity -- with its rapid evolution attributed to the widespread digitization of business processes globally. Data has become the new business currency and its further rapid increase will be key to the transformation and growth of enterprises globally, and the advancement of employees, "the digital natives."

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Organizations using extract, transfer and load (ETL) and Changed Data Capture (CDC) technologies are struggling to keep up with today's demand for real-time data analysis, with negative effects on their business opportunities and efficiency.

This is one of the findings of a new study by IDC, sponsored by software company InterSystems which highlights a growing need for reliable real-time data analytics in today's enterprise.

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Businesses are increasingly offering mobile apps to their customers and these have the potential to deliver a great deal of valuable information. Turning that data into something useful though can be a challenge.

Mobile marketing specialist Swrve is launching a Premium Analytics add-on to its existing Swrve Mobile Engagement Platform, aimed at giving improved insights, reporting and analytics capabilities.

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In an effort to help managers better understand just how productive their workers are, Microsoft has announced a new product for its enterprise customers called Workplace Analytics that utilizes the data collected by Microsoft Graph to provide valuable insight into how employees spend their workdays.

This new product builds off of the company's MyAnalytics, which was released last year, that gave employees the ability to view their own individual productivity using data collected from their Skype history, calendars, emails and documents.  The difference between this previous tool and Workplace Analytics is that now employers will also be able to view the productivity levels of their employees.

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Salesforce has revealed the launch of its most advanced CRM analytics platform yet.

Called Einstein Analytics, this platform leverages artificial intelligence to the analytics workflow, allowing users to automatically create CRM insights. The AI will also be able to recommend actions which improve customer service and boost sales, as well as helping optimize marketing campaigns.

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