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07 Feb 2016
Sticky Post By Posted in Digitalization Permalink

What is the digital economy?

Sticky Post By On Februar 7, 2016

Accentures Mark Knickrehm, Bruno Berthon and Paul Daugherty made a pass to digital growth by defining digital economy and pinning down some other remarkable ideas.

Quote:

“The digital economy is the share of total economic output derived from a number of broad “digital” inputs. These digital inputs include digital skills, digital equipment (hardware, software and communications equipment) and the intermediate digital goods and services used in production. Such broad measures reflect the foundations of the digital economy.”

Please find the link to the article below.

https://www.accenture.com/t20160119T085449__w__/us-en/_acnmedia/PDF-4/Accenture-Strategy-Digital-Disruption-Growth-Multiplier.pdf#zoom=50

18 Jan 2016
Sticky Post By Posted in Digitalization, Finance, Processes, Technology Permalink

Results Q4/2015 Poll – Corporate Strategy Analytics, the implementation and practise

Sticky Post By On Januar 18, 2016

The Q4/15 web-poll tried to catch a glimpse about the concurrence between
– corporate analytics strategy the
– implementation of the strategy and the
– practice and expectation of so called unstructured data?

Results of the poll showing

1.    Analytics is a strategic cornerstone. The analytics implementation roadmap raises some points, as the majority of participants don’t see a realistic and visible scope.

2.    The systematic and machine based analysis of unstructured data (a.k.a. NoSQL data) isn’t really practiced and usually has no decision-making role.

3.    A significant change in the role of unstructured data analysis in the near future is expected.

Why the linkage between analytics strategy and unstructured data?

Looking from a corporate perspective analytics is an investment and should deliver business values. Analytics are typically helpful to
– identify cost savings or/and increase revenues,
– gain understanding in the substantial re-design of business processes,
– find out or invent completely new/different business models…
… in other words to compete.

In the same way corporate applications mostly provide structured data and usually running in the range of the applications in a given situation. In addition the focus on data is rather processing than generating data-driven decisions or creating new business based on data. If companies want to move ahead in a qualified and reasonable pace it comes down to other data like web-based, legacy systems embedding, supplier data, customer centric data or data which are beyond the line right now. Each sort of data carries its own structure – and that’s the point. They don’t fitting into a given and well-balanced corporate data model, therefore they’re called unstructured.

If companies want to integrate the above type of data into
– research,
– sales,
– customer support or
– product development or
– other departments
the traditional way it would take years to put them into corporate processing framework.
NoSQL data technologies provide capabilities to integrate, query and process unstructured data very easy and sufficiently into corporate data life-cycle.
That’s why a serious analytics strategy should have a reasonable NoSQL element.

10 Okt 2015
Sticky Post By Posted in Business Model, Digitalization, Finance, Processes Permalink

Results Poll 09/2015 – Data Driven Decisions and Unstructured Data

Sticky Post By On Oktober 10, 2015

Analytics is on top of the list of many CxOs and was or is subject to various “data driven” initiatives. One of the basic elements in regards of analytics is data scrubbing.
Picking the relevant data into analysis/reporting cycle becomes much more centric. On the other hand, the “relevant set” of data is directly linked with the business model – including all its digitalization impacts. Getting data “on-board” is key to analytics and subject to the poll. In detail the focus was to find out the view of the attendees to their data scrubbing awareness and ability. It ended up with the below mentioned results.

1.    The majority of attendees are aware of vital changes to their business model in the near future. In addition, most attendees have an eye on the relation between those changes and the impact of data driven decisions.

2.    A significant number of attendees don’t see a sufficient coverage of the data needed and the data available for decisions. Its maybe paying to the fact, that still a significant portion is running against structured data. The role of unstructured data in deploying data driven decision is important and will be subject to further polls.

3.    In addition if existing data structures are subject to change (due to digitalization), the integration into the existing scheme is not an easy piece of cake (despite it becomes a day-to-day requirement).

03 Aug 2015
Sticky Post By Posted in Digitalization, Finance, Processes Permalink

Financial Month End and Data – conclusions of 06/15 – 07/15 web-poll

Sticky Post By On August 3, 2015

Tanks again to everyone attended the survey. Please find the summary below.
As a result of the 05/15 poll this questionnaire was mainly about the “data related effort” in the financial month end process.

Financial Month End and Data – conclusions of 06/15 – 07/15 web-poll

1.    Related to their month end closing a significant number* of the attendees struggle with a huge number of different data sources.
2.    No matter if few or many data sources it takes about 30% of the effort to get the data on board. In addition, the reconciliation work of the numbers
checked-in is material and takes between 10% and 40%.
3.    Corporate reporting is often a burden and can’t be adopted immediately according to the survey.

* “many” and “few” is related to the perception of the attendees, the real numbers of different sources weren’t a scope of this survey.