Mozilla to Firefox users: Here's how we're protecting you from code injection attacks

Mozilla to Firefox users: Here’s how we’re protecting you from code injection attacks

Mozilla cleans up Firefox to cut risk of code injection attacks and deter use of a dangerous JavaScript function Firefox-maker Mozilla has detailed its recent efforts to harden the browser against code injection attacks. That hardening work has focused on removing "potentially dangerous artifacts" in
/
BBC Tech

‘Deletefacebook’ trends after Zuckerberg backlash

The hashtag deletefacebook is trending on social media after it emerged Mark Zuckerberg held informal dinners with conservative politicians and right-wing commentators in the US. The meetings began in July, the news website Politico reported. In a post on Facebook, Mr Zuckerberg said he had
/
Will Crump

The Key to a Successful M&A = Data

Successful M&A = Data

Data is often the single point of failure for many organizations. Divestitures, privatization, leveraged buyouts, and management buyouts are all on the rise, but data too often remains an afterthought, rather than an asset to be governed.

Many M&A events come from the need to improve agility and innovation. Effective data governance will become both a competitive advantage and the prime opportunity for mergers and acquisitions in the modern age. Why?

Data governance makes the M&A process much more efficient. If you are the acquirer, data governance provides assurance that data assets can be valued and repurposed for your business needs. If you are being acquired, data governance is a prime method for articulating goodwill and demonstrating business and performance value.

Keys to Success for the New M&A

To succeed in the new era of M&A, businesses must promote and encourage data-savvy cultures, commit to defining central policy for data, and generate accountability for data at each level.

The data-savvy culture isn’t just about hiring a team of data scientists or refreshing the employee population with a younger mindset. To ensure an effective M&A event, business owners should tap the most experienced operators to define the processes, rules, and standards that define what data is valuable and how it runs the business. This shouldn’t be considered busy work. This is the opportunity to define the next iteration of the business as a digital enterprise.

It’s vital to centrally define strategy and policy for data. In order for data policy to work, it needs to be dynamic, meaningful to the business, and accessible across the enterprise. M&As are about generating scale, but businesses can’t scale across the new hybrid landscape without a common rhythm to march to. A central data policy creates this rhythm.

Generating data accountability is a pervasive challenge among enterprises with increasingly matrixed organizations. Simple habits within line-of-business practices create process interruptions and then disrupt analytics.

Take a wholesale distributor, for example, that works hard to expedite the introduction of a new customer into its system. The first screen of the system asks for addresses that represent both “ship to” and “bill to” criteria. But there is no way to advance to the second screen until both addresses are filled in. Employees commonly duplicate the addresses when the customer knows one but not both, under the assumption he or she can come back and update it later.

Often before that can happen, an order is returned based on the wrong shipping address, and the business is unsure who was accountable for the error. Was it the author of the data who entered it, trying to improve customer service time and get the order placed quickly? Was it the IT team that runs data quality reports and profiles for duplicate addresses? Or was it the order fulfillment team that should have performed quality assurance and double-checked the most important data attributes of the order before shipping?

Mergers, acquisitions and divestitures all require many things to be successful. They are no doubt highly complex and complexity is often the breeding ground of failure. However, with the proper focus on the value of data from initial due diligence all the way through integration, companies can avoid missteps and account for complexity early on.

By Will Krump

Will Crump Contributor
CEO of DATUM
As president and CEO of DATUM, Will Crump brings more than 15 years of experience in building high-performance, cross-functional teams to compete in global venues. He is a sought-after voice in the areas of software product development, OEM and enterprise B2B web application technologies. For information on advisory services and DATUM’s SaaS, Information Value Management, visit DATUM’s website.
follow me
Chris Gervais

Why Containers Can’t Solve All Your Problems In The Cloud

Containers and the cloud Docker and other container services are appealing for a good reason - they are lightweight and flexible. For many organizations, they ...
As Enterprises Execute Their Digital Strategies, New Multi-cloud Landscape Emerge

As Enterprises Execute Their Digital Strategies, New Multi-cloud Landscape Emerge

The Multi-cloud Landscape The digital universe is expanding rapidly, and cloud computing is building the foundation for almost infinite use cases and applications. Hence, it’s ...
Mark Casey Apcela

Industrial IoT will reshape network requirements

Industrial IoT The hype around IoT may have been surpassed this year by breathless coverage of topics such as artificial intelligence and cryptocurrencies, but there ...
Imminent IoT Eye-Tracking Technologies To Transform The Connected World

Imminent IoT Eye-Tracking Technologies To Transform The Connected World

IoT Eye Tracking Smelling may be the first of the perceptible senses, but the eye is the fastest moving organ in the human body. While ...
Michela Menting

Achieving Network Security In The IoT

Security In The IoT The network security market is experiencing a pressing and transformative change, especially around access control and orchestration. Although it has been ...
It Programs Compressor