To Improve Data Quality, Sometimes the Best Place to Start is at the Very End

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• With big data and analytics, older ideas like predictive analytics and AI are coming together to solve long-standing problems, most notably data quality.

• Sisense is adding another twist by taking advanced design and visualization concepts and putting those to work at the very beginning of the analytics lifecycle.

Invention invariably involves theft. Each generation of inventors stands on the shoulders of its predecessors, borrowing freely from their available pool of knowledge. Ideas are deconstructed, mixed up, and reapplied in new ways and within unexpected contexts to form, well, something new. Sometimes these new inventions are simply the opportunistic reinterpretation of an existing idea, taking something unique but impractical and turning it into something incredibly useful. That’s the way it was with the invention of the automobile, the light bulb and the radio. And that’s how it is with big data and analytics, where older ideas are only now coming together to solve long-standing problems. Continue reading “To Improve Data Quality, Sometimes the Best Place to Start is at the Very End”

Is the Promise of IoT Getting Lost in “Good Enough” Analytics?

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• In studying buyer expectations and experiences from more than 1,000 IoT practitioners, GlobalData found that the majority of users rely upon basic reporting mechanisms as found in business intelligence (BI) systems when analyzing IoT data.

• This points to a significant mismatch between opportunity and expectation with enterprises setting the bar far too low when it comes to using IoT as a means of moving beyond basic operational efficiencies and into the realm of intuitive, self-governing business systems.
Continue reading “Is the Promise of IoT Getting Lost in “Good Enough” Analytics?”

Huawei Analyst Summit 2017: Huawei, More Open Than You Think When it Comes to Big Data

B. Shimmin
B. Shimmin

Summary Bullets:

• At its annual Huawei Analyst Summit 2017, Huawei spoke of solutions built on top of two pillars: an open IaaS/PaaS cloud platform paired with an open ecosystem of partners.

• The vendor’s premise? Let Huawei handle the infrastructure (the cloud, pipes and devices, as Huawei puts it), leaving the rest to those who know business outcomes the best.

At its annual Huawei Analyst Summit 2017, the Chinese powerhouse took a surprising turn. At past events the vendor emphasized its ability to squeeze more performance from its sizable portfolio of predominantly hardware-based data center and networking offerings. The objective was simple: demonstrate a better cost/value ratio for high value workloads like video. That approach remains a solid strategy, one that is all too familiar to rival firms like Cisco. This is especially true for vendors seeking attention from the still lucrative telecom operator marketplace.
Continue reading “Huawei Analyst Summit 2017: Huawei, More Open Than You Think When it Comes to Big Data”

Warning, Smart Data Discovery Tools Could Make You (Look) Dumb

Brad Shimmin
Brad Shimmin

Summary Bullets:

• The current crop of data discovery and visualization tools is getting smarter, requiring less analytical expertise to shepherd the business user quickly from question to insight.

• However, without some tutelage and guidance, advancements such as guided discovery and recommended visualizations could ultimately lead to less informed business decisions.

Earlier this month, TIBCO updated cloud-borne business intelligence (BI) software, adding Recommendations to TIBCO Spotfire Cloud. The goal is to make it easier and faster for a broader swath of users to dive for valuable business insights within the dark waters of big data. With the addition of a built-in analytics intelligence wizard (TIBCO’s words), Spotfire Cloud with Recommendations will now automatically suggest visualizations based upon the data selected for analysis. That’s a good thing, right? Continue reading “Warning, Smart Data Discovery Tools Could Make You (Look) Dumb”

RSA 2013: Innovating for Better Risk Management

Amy Larsen DeCarlo
Amy Larsen DeCarlo

Summary Bullets:

  • Even with IT budgets extremely tight, security remains a funding priority for the enterprise in the face of a virulent threat environment, as was clear from the crowds at this year’s RSA Security Conference.
  • Security challenges associated with BYOD, virtualization, application layer attacks and the skills gap are driving organizations to focus on identifying vulnerabilities and prioritizing assets for better risk management.

Where there is a will, there seems to always be a way when it comes to IT security breaches.  At times, it seems as if the IT security industry and hackers are running on parallel tracks when it comes to innovating to prevent and launch attacks, with tenacious hackers too often getting the upper hand.  Yet, as the high attendance figures (approximately 24,000) at this year’s RSA Security Conference in San Francisco show, the enterprise is hardly ready to give up the fight.  Instead, vendors and managed security service providers (MSSPs) alike are continuing to come up with more advanced mechanisms to find and fix vulnerabilities and better mitigate risk to prevent exploits. Continue reading “RSA 2013: Innovating for Better Risk Management”