Enterprises look to unlock the power of data through full-stack observability
Following two years of rapid digital transformation and firefighting in response to the pandemic, enterprises are primed to drive the next critical wave of innovation according to a new report from Cisco AppDynamics.
The study of 1,200 technologists worldwide finds that appetite for full-stack observability has markedly increased over the past year, with 85 percent saying 2022 will be pivotal for their organization on the journey to unlock the power of data in an application-driven world.
What we can learn from famous data quality disasters in pop culture
Bad data can lead to disasters that cost hundreds of millions of dollars or -- believe it or not -- even the loss of a spacecraft.
Without processes that guard the integrity of your data every step of the way, your organization might suffer catastrophic mistakes that erode trust and lose a fortune. As a reminder to make sure that high-quality data is an end-to-end priority for all types of industries, let’s look at some of the biggest data quality incidents in recent pop culture history.
New AI platform helps financial enterprises handle unstructured data
Unstructured data might include everything from documents to social media posts, all enterprises have it but being able to make use of it is a challenge.
AI startup nRoad is launching its new Convus platform, aimed at financial services businesses enabling them to extract critical business information buried in unstructured documents.
40 percent of employees take data with them when leaving a job
New research from email security company Tessian finds that 40 percent of US employees have taken data with them when they've left a job.
This potentially exposes the business to a raft of cybersecurity concerns, from data breaches to regulatory fines. When asked why are they taking data 53 percent of employees say they worked on the document so therefore believe that it belongs to them.
5 data warehouse myths that hold development back
Businesses now live and die by data. From managing resources and analyzing performance to hyper-targeted marketing and behavioral analytics, data has become essential to the way companies operate. The demand for data has never been higher -- and it’s only increasing.
This pressure passes directly onto the people who help meet this demand. Data warehouse (DW) and analytics professionals are having to develop new data sets and produce insights at a record pace, all whilst keeping costs down. It’s clear DW acceleration is critical and this is acknowledged across the industry: according to WhereScape and TDWI’s research published this year, 63 percent of data warehouse professionals consider DW acceleration extremely important.
Flexibility, multi-clouds and the edge -- storage and data predictions for 2022
Thanks to the IoT and the collection of customer data online, businesses are accumulating more information than ever before.
This means that the need for storage isn't going to go away -- even though it may now be 'out of sight, out of mind' in the cloud. So, what do industry experts think is the future for storage and data as we head into 2022?
Low code, more productivity and closer links to data teams -- development predictions for 2022
In recent years development teams have been under increasing pressure to produce software and updates quickly, a trend that's only been accelerated by COVID-19.
So, what do industry experts think that 2022 has in store for developers?
Three-quarters of enterprises don't have full observability of log data
Log data is important for tasks such as tracking performance of applications and capacity resources, informing product improvements, and identifying threats and anomalous activity.
But a new report from LogDNA, based on a Harris poll of more than 200 professionals responsible for observability and log data management across the US, shows 74 percent of companies are still struggling to achieve true observability despite substantial investments in tools.
Data integration: Why it's essential for every successful business
Ninety percent of the world's data was created in the past two years alone. Now, industry experts predict this volume of data will double in size every two years. To keep up with the rise in data volume, more companies are starting to transition from on-premises to cloud data storage.
Data integration is essential as businesses scale their operations, handle large amounts of data, and make their data more accessible. So, it's no surprise 81.7 percent of companies now have a mix of legacy and modern cloud technologies, highlighting the rapid transition to cloud data storage. Without effective integration, companies risk mismanaging their important data, leading to inaccurate reporting, tracking, and decision-making that could negatively impact their business.
99 percent of enterprises struggle to deliver relevant search results
Companies are more than ever reliant on data, but siloed search deployments and a lack of organizational alignment on a strategy are among factors preventing truly relevant enterprise search results, according to a new study.
A survey conducted by Dimensional Research for Coveo Solutions shows that despite an increased investment in search over the past year by 85 percent of IT professionals, 99 percent of organizations still struggle to deliver relevant search results to their users.
It's time for rail companies to get smarter with data
The rail network is awash with data. There are systems measuring everything you could possibly compute -- from ticket sales and toilet cleaning to punctuality and passenger satisfaction. Use this data smartly, and you have the power to transform your train operating company (TOC).
But here’s the catch; to use the data, you’ve first got to get your hands on it, and with the way many TOCs are organized, that’s not always as simple as it sounds.
The importance of a modern approach to information management [Q&A]
Information is now a critical asset for businesses, but it's only of real value if you can manage and access it efficiently.
More and more data now is in an unstructured form too, so has the way we manage information changed, and what do businesses need to do to make the most of it to inform their day-to-day decisions? We spoke to Antti Nivala, founder and CEO of M-Files to find out.
New project aims to make open data more accessible
Project OpenBytes, announced today by The Linux Foundation, is dedicated to making open data more available and accessible through the creation of new standards and formats.
It will enable a community of developers and data scientists, led by Graviti, to create data standards and formats that enable contributions by anyone.
62 percent of organizations not confident they can prevent data loss
Data exfiltration remains a significant threat and despite large investments in security tools, organizations are not confident they can stop it according to a new report.
The survey of 255 cybersecurity professionals, conducted by Osterman for data privacy and security company BlackFog, finds 62 percent lack confidence in the ability of their security tools to prevent data exfiltration.
The increasingly critical role of data in the enterprise [Q&A]
The importance of data has increased exponentially in recent years, for businesses of all sizes. But there are increasing challenges too, posed by privacy regulation, alternative data and more.
We spoke to Or Lenchner, CEO of Bright Data to find out more about the key role of data in the enterprise and how businesses can use it effectively.
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