Tag Archives: analytics

Tidemark: Mobile-First, Ease of Use Analytics

As part of Saugatuck’s ongoing “Finance in the Cloud” Series, Mike West and Bill McNee recently conferenced with executives from Tidemark to learn more about the Tidemark solutions, their market reception, future plans for enhancement and how Tidemark views “Finance in the Cloud.”

Formerly known as Proferi, Tidemark is a privately-held firm founded in 2010 that provides Cloud-based analytics solutions built for a mobile device-enabled platform. Tidemark has grown rapidly, and now has nearly 200 employees and over 50 customers.

Tidemark’s differentiation in the financial planning and analysis (FP&A) space, which has many competing providers, is a process-focused elastic grid platform that enables a high ease-of-use user experience designed to move financial analysis beyond the CFO suite. Tidemark targets the emerging urgency – not just in the CFO suite, but across the lines of business – for real-time analysis of multi-dimensional, complex Continue reading

Boundary-free Enterprises and the Big Storm of 2015

With Clouds come storms, and big storms tend to blow things around.  Back in 2012, we began building our “Boundary-free Enterprise™” business concept to illustrate the concept of how much Cloud and its related technologies will “blow away” many, if not most, of our traditional business and technological boundaries.

A new Strategic Perspective for Saugatuck Technology’s subscription research clients looks at the four types of boundaries most likely to be buffeted by these storms, as follows:  Continue reading

The Business Problem with Big Data Analytics

What is Happening?          

Recent software analyst and IT media reports, including insights from a recent SAP Americas User Group (ASUG) survey, suggest that SAP’s HANA Big Data service / platform is not yet seen by a majority of ASUG members as benefiting their business (relative to the implementation cost of implementing), or driving enough revenue growth for SAP. SAP has, very smartly, issued a careful rebuttal explaining how, where, and why customers see value in HANA – and more importantly, offering to work with any customer to help them understand and realize business benefits from the offering and its associated apps.

We believe that, through at least 2016, this type of approach is the most effective way of getting user enterprises to understand the value of any Big Data analytics capability; i.e., develop company-specific and operationally-specific business cases in order to enable and develop business value. This is because, in most companies, Big Data analytics just can’t be widely used to deliver broad-based business benefits across the full portfolio – because user enterprises have huge challenges finding and managing their own data, let alone analyzing it. Continue reading

Alteryx Inspire – The Importance of Analytic Context

Recently, Saugatuck attended the 2014 Alteryx Inspire event in San Diego as part of our ongoing Analytics, BI, and Big Data research. The event showcased not just Alteryx offerings and customers, but also did a good job of presenting and encouraging discussion around Analytics trends, partner relationships, and challenges for users of analytics – including Big Data. We came away from the event with three key insights, as follows:

1) ETL & Access to the Data. One of the primary differentiators of Alteryx is built-in ETL. Even though the application features significant Advanced Analytics capabilities (built around the R language), the Alteryx Designer focuses around an ETL-centric workflow. These capabilities make Alteryx adept at combining multiple data sources, and performing complex Joins and Transformations that would normally be prohibitively difficult for end-user business analysts. These capabilities feature centrally for the customers that we talked to as well, as most Continue reading

Keys to Digital Transformation, Cornerstones for Digital Business

What is Happening?          

Digital delivery models are impacting traditional businesses. Driven by consumer demand for convenience and new consumption models, including subscriptions and usage-based consumption, enterprises are moving to Digital Business models and offerings, and finding huge upside from predictable revenue streams and long-term, recurring-revenue customer relationships.

There’s no simple means of accomplishing this, however – there’s no “silver bullet.” Saugatuck’s research in the constantly-changing, constantly-innovating world of Digital Business continues to indicate that success requires not only significant investment in business strategy, modeling, and organization, but also a flexible, platform-based approach built on three cornerstones: data analytics, dPaaS and other Cloud development platforms, and DevOps.

A 36-page new Saugatuck Strategic Research ReportCornerstones for Digital Business: Big Data, dPaaS, and DevOps – summarizes and explains this platform-based approach, using key concepts of Digital Business, in-depth explanation of the required platform architecture, and re-examinations of foundational Saugatuck research to illustrate and guide readers through Digital Business transitions. Continue reading

Big Data and Advanced Analytics Panel (CBS2013)

On September 25, 2013, Saugatuck held its 3rd annual Cloud Business Summit at the Westin Times Square in New York City.  As with prior Summits, our event brought together more than 100 large-enterprise CIOs, CTOs and senior business and finance leaders – to explore how they can and are realizing value from the Cloud. This year’s conference theme was “Rethinking Business Innovation.

One of the hottest topics in Cloud business today is Big Data and advanced analytics. While many current attempts and instances are still trials and PoCs, as enterprises work to figure out what these “power tools” can really do – significant progress and payback is being demonstrated in analyzing purchase decisions and in the targeting of customers, and in leveraging sensor data to help drive operating efficiencies throughout industry and the supply chain.

In this featured panel, Saugatuck Technology SVP and Head of Research Bruce Guptill is joined by Will Klancko, Sr. Risk Program Manager at GE Capital, Hodan Hassan, Managing Director at Unicef Continue reading

The Coming Big Data Tsunami in Finance

Industry research, including work done for clients by Saugatuck Technology, has consistently indicated a lag in adoption of Big Data and Advanced Analytics within the financial area – including Finance processes in business, and in the Financial Services industry itself. This has been attributed to natural caution regarding this data and these activities, so central to business. But the reasons for this lag go deeper, and are more complex than might be supposed. In consequence, as the Big Data revolution begins to fully engage finance, there are likely to be significant repercussions, and great opportunities for vendors.

The Financial Services industry and the enterprise Finance function are inherently linked. In some large companies, there is little difference between department operations and those of an investment firm or a small bank. New technologies and concepts are tested in both environments, creating a healthy cross-pollination of innovation. Shared issues include the need to optimize investments, special regulatory concerns, special security concerns; and a host of measures for understanding, measuring, and predicting financial results. Continue reading

Predictive Analytics: Knowing What Already Happened Isn’t Good Enough Anymore

A new Strategic Perspective published for Saugatuck Technology clients looks at how and why simply reporting on what has already happened, or monitoring various aspects of a business, is unlikely to provide adequate insights needed to make high-impact decisions and to better the competition. Enterprises are therefore combining internal operations and external data streams in new ways, which is blurring the traditional lines between these two entities, while providing new actionable information. The result: Fast-growing interest in Predictive Analytics, especially as regards using Big Data. Many businesses have and are moving to predictive and prescriptive analytics as a way to get better returns on their Big Data investments by determining causation from predictive analytics. Continue reading

Cloud in the Age of Insight – Mike Rhodin, SVP IBM Software Solutions (CBS2013 Video)

On September 25, 2013, Saugatuck held its 3rd annual Cloud Business Summit at the Westin Times Square in New York City.  As with prior Summits, our event brought together more than 100 large-enterprise CIOs, CTOs and senior business and finance leaders – to explore how they can and are realizing value from the Cloud. This year’s conference theme was “Rethinking Business Innovation.

In this featured presentation, Mike Rhodin, SVP IBM Software Solutions explores the longer-term impacts of cloud, and how it is not only an alternative computing model but a gateway to help companies achieve competitive advantage.  Efficiency, speed and flexibility have Continue reading

Populating the Dataverse: Headhunting for Analytics

Recent market studies, including our own 2013 Cloud adoption and use research program, indicate that Big Data and Advanced Analytics remain high on the agenda for most corporations as an important competitive ability. Yet those same studies show that companies are being held back by a lack of suitable staff to handle the new requirements. Fixing the staffing needs of analytics is the opening round in what can be foreseen as an escalating need to acquire new skills to meet the continuously changing needs of the BfE.

IT departments have now reached an inflection point in which new ways of doing things are supplanting older patterns. Organizations are changing, employment possibilities are changing, and new concepts are being explored not only in analytics, but in recruitment and training as well. There are wide ranging impacts to these changes that challenge the notion of generational differences and the valuation of recently degreed candidates. In future, everyone will need to engage in continuous learning, and re-training will be commonplace. Hiring to meet each emergent need will simply be too cost prohibitive, and new skills will have a shorter value cycle—just as innovation has a shorter value cycle in the fast moving enterprise of today. Continue reading