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By Mohit “Mo” Sahgal Previously, I reviewed the pitfalls of guessing, and arbitrarily setting milestones, without any supporting details. Another major challenge is selecting an inappropriate approach or methodology to perform the required work. A well-formed, proven methodology is the bedrock of any successful IT program. Furthermore, the work-breakdown structure (WBS) and work effort sizing should be based on a few critical deliverables. That is, all tasks in the methodology must accurately reflect the work required. Also, the WBS must be sufficient to produce all of the necessary deliverables. Tasks for which even one required deliverable cannot be defined is wasted effort. A proven framework in which the WBS can be organized is an excellent starting point to define both the work and deliverables. Organizations without such a framework may face additional challenges including increased costs and execution risks.

General Data Protection Regulation (GDPR) has been on the minds of business owners and featured in almost all the business and technology publications on the web. If GDPR affects you, your company needs to be in compliance by May 25th, 2018.

By Dan Fischer This is a two-part blog series and is an introduction to deep learning analytics focusing on fundamentals instead of a technical “deep dive”.

By Mohit “Mo” Sahgal In the last blog, I introduced the pitfalls of both avoiding initiative work effort estimation, and inaccurate work effort estimation. This blog focuses attention on what happens when you guess or create a high-level, summarized or generalized work effort estimate. The most common examples of guessing and generalization are arbitrary activity duration. An example of that would be saying “in 90-days” or ” in a 9-month” delivery cycle. These unreliable “predictions” ignore the real factors driving the work effort, staffing, task duration and costing. When these factors aren’t working together as a cohesive unit, the organization’s strategy execution could take a hit too, especially if they aren’t using the best software. What is more challenging is guessing without accounting for assumptions and risks. Even when estimation is difficult, guessing should be avoided. If you have a delivery business, you want to show your customers that you are reliable, using a service like the last mile delivery software can help your customers and you keep track of everything being delivered.

By Jim Bondurant Power and Utility will always be recognized for their commitment to moving forward year after year with a focus on reliability, safety and affordability, and 2018 isn’t any different. Technology is increasing by leaps and bounds, affecting every industry vertical and it is an exciting time in the power and utility industry.

A perspective from Mohit Sahgal. As IT budgets dwindle and cost of poor quality concerns rise, the need for accurate work effort estimation has never been more important. With an unglamorous history, Business Intelligence (BI) projects in particular have come under increased scrutiny. There is little tolerance for initiatives that promise much, but deliver well-short of expectations. Today, businesses demand more visibility, transparency and accountability in work effort sizing, solution architecting and delivery, today’s business intelligence tools allow businesses to try and maximize as many of these factors as possible.

By Guest Blogger, Anshuman Sindhar Why is there such a focus on data? Over the last decade, the volume produced by both corporations and individuals has increased exponentially. In addition, increase in the velocity (speed of data creation) and variety (structured, and unstructured, including, social media, email, PDFs, etc.) have contributed to the lack of veracity (abnormality or “noise”) of the data. This has led many executives to question data validity – that is, is the data on which decisions are based accurate? Is it timely and consistent? Do we know? Or are we just guessing?

A perspective from Mohit Sahgal. There are so many references and interpretations on GDPR Articles; yet very few, if any, references to the Recitals. Today, there are 99 active GDPR Articles, but there are 170+ GDPR Recitals. In general, there are several Recitals per Article. The Recitals provide significant guidance on clarifying the implementation of a specific Article. Naturally, the guidance still requires interpretation, but additional information is useful. If you’re looking for basic information on GDPR such as who and what it affects, look into this informational gdpr page, as just one example on a resource you could use.

I have encountered the term “Data Owner” many times, and I want to share my perspective on why this in an inappropriate term. This point of view is not intended to be a legal review of the term, but there are some important distinctions as it is applied to data, and the promotion of data as a corporate asset.

Guest introduction: Mr. Mohit Sahgal is the VP of Analytics of Paradigm Technology. He is an accomplished senior executive with decades of management consulting expertise. Mohit has held various leadership positions including Senior Executive at Accenture, Partner at IBM, Partner at Capco, and Executive Director at Ernst & Young LLP.

Paradigm Technology has been recognized and awarded by Informatica for Superior Performance and Helping Customers Become Data-Driven Disruptors. Paradigm Technology, today announced that the company was named winner of the 2017 Informatica North America Partner of the Year award. Paradigm Technology received this prestigious honor during a reception at Informatica’s 2018 Partner Kickoff in Las Vegas last week.

GDPR: The Good, The Bad and the Scary. Is your company affected by the new GDPR regulations? Ask these questions: Does the company have a presence in a EU country? Does the company hold any personal information about an EU citizen? If your company has retained any information on any EU citizen, have you protected that information against potential breach’s? Has your company yet to assess the materiality of the impact of the regulations (also known as Data Protection Impact Assessment)?
Has your company yet to assign a Data Protection Officer? Has your company yet to develop processes to enable various rights an EU citizen may invoke, such as the right to know what information you possess or the right to be forgotten? Has consent for any processing performed on EU citizen information held yet to be obtained?

What Can Analytics Do for My Business? With the extraordinary amount of data that businesses gather everyday comes extraordinary opportunity. Today’s advanced analytics can turn business data into invaluable insights that drive revenue growth, reduce costs, enhance the customer experience, and more.

We continue to expand our Data Governance practice, check out our approach. READ MORE

Paradigm Technology, a boutique consulting company and strategic solutions partner, announced today that Dennis McDonald has joined the company to lead the company’s Project Leadership Consulting Practice.

In 6 Trends Shaping Analytics Strategies in 2016, Deloitte identified the internet of things (IoT) as a key driver of business innovation. Sensors and beacons on countless objects connected to the internet are generating and transmitting a wealth of data around the clock. The data reports the status of these connected objects.

Thanks to our amazing partner, Informatica, for sharing this great eBook – Laying the Foundation for Next Generation Analytics. It’s a great read! (Link below)

The most common form of analytics that businesses use is descriptive analytics, which provides insights on past performance or actions. The findings discovered through descriptive analytics is often demonstrated with the use of a line graph maker to display findings in meetings in a presentable way. Predictive analytics takes this a step further to identify likely future trends or what is about to happen.

The marriage of SAP HANA and IBM’s Power Systems has created a next-generation platform tuned for the flexibility, resiliency, and performance required by the digital age.

Data from and about consumers is growing exponentially. Some estimates place growth at 2.5 quintillion bytes of data per day. A key factor in this growth is the popularity and widespread consumer adoption of technologies such as social media, cloud computing, wearables, and the Internet of Things (IoT). Consumers connect their homes, entertainment devices, vehicles, smartphones, smartwatches, and more to the internet and to their friends and families. All those connections create a stunningly detailed data set that captures what consumers do every minute of every day. When it comes to a business, knowing all this is very important, as it informs companies of the engagement from their customers and get a better understanding of what’s happening in various sectors. If you are struggling to find ways of how to get all this important information in one place, maybe the use of a project analysis reporting software could be the answer you’ve been looking for.

In the big data era, companies are frequently turning to data analytics to make important decisions. To at least get to grips with the basics of business analytics, click here. You never know, this could come in handy one day for your business. However, with the rise in demand for analytics, most companies don’t have enough employees with expertise in data science.

At Paradigm, we pride ourselves on the high caliber of Project Management Professionals we employ. We take the time to assess each Project Manager based on a set of skills and specific characteristics under each skill including:

In the Cognitive Business Era business leaders need to be able to quickly determine and request the development of new business capabilities. This means a little bit of experimentation and a lot of collaboration. This also means that the business requires controlled iteration at scale.

It’s no surprise that the Cognitive Business era is coinciding with the dawn of the Internet of Things. Data growth is enormous now, and IoT will usher in an age of everything from connected cars to service requesting sensors in soda machines.

Your applications are unique; so why shouldn’t you be able to have a choice in where your various services run? In the cognitive business era you’ll be able to have a choice in platforms, runtimes, and deployment models.

There’s a tendency in the tech world to view IBM as a pusher of closed technology ecosystems. We don’t blame you if this is what you think about IBM, but we’re here to say that in regards to today’s IBM, that perception is flat-out wrong.

How can you get answers before you even ask questions?

If you could amplify the power of your brain, would you? How many people would turn down the ability to read a book in a few minutes and be able to comprehend, retain, and recall the information in an instant? What if you could compile all of the information in your brain and turn all of that knowledge into actionable insight?

We are on the cusp of a new age of computing. One where smart businesses are starting to think differently about how they design, build, and deliver technology solutions. We believe that IT teams need rise up and help drive this innovation.

In our last article, we discussed how analytics acceleration helped to deliver faster insights using infrastructure designed for complex analytics. In order to accelerate analytics, IT leaders need to become the architects of the future and employ a new data approach.

FREE eBook on Salesforce Integration from Informatica: Salesforce is tracking more than your sales pipeline. It’s being adopted by services, by marketing, and beyond. To play a pivotal role in shaping your Salesforce integration strategy and tame data complexity, you’ll want a plan.

FREE eBook on APIs from @IBM Integration on Twitter: Reach new customers by aligning your API strategy with your business. Ready to learn how?