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“IT-Governance“ Heft 22
Results Poll 09/2015 – Data Driven Decisions and Unstructured Data
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).
Financial Month End and Data – conclusions of 06/15 – 07/15 web-poll
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.
Digital Leadership für Führungskräfte von morgen – Buchtipp
Digital Leadership für Führungskräfte von morgen
Autor: Sanjay Sauldie
Wenn Sie bisher nicht von Digitalisierung überzeugt gewesen sein sollten, dann lesen Sie bitte unbedingt dieses Buch – sonst natürlich auch.
Es bildet einen Orientierungspunkt und ist allemal eine kurzweilige Lektüre, um Führungskräfte wach zu rütteln.
Das Buch veranschaulicht m. E. den Weg des digitalen Wandels sehr griffig. Dabei bedient sich der Autor einer lebhaften Sprache. Punktuell verwendet der Verfasser deutliche Formulierungen und schärft somit den Blick für digitales Veränderungspotential über verschiedene Unternehmensebenen hinweg.
Hoch dürfte das Herz insbesondere für Anhänger wissenschaftlich eher unorthodoxer Publikationen schlagen. Einzig die praktische Umsetzung der iROI Methode im Vergleich zu anderen Methoden kommt ggf. etwas zu kurz und sollte weiter erörtert werden.
Im Kern muss sich aber jedes Unternehmen über die erforderlichen „digitalen“ Änderungsmechanismen klar sein und diese konsequent umsetzen.
Trotz der einen oder anderen Frage innerhalb der Aussagen – Stichwort wissenschaftliche Untersuchungen – hat mich das Buch begeistert. Ich habe es in einem Stück und ohne Pause durchgelesen.
Hadoop – Use Case vs Business Value
Gartner recently published a study about challenges with Hadoop (pls. see link below).
Hadoop is a ecosystem allowing scalable (real-time) data retrieving beyond structured data sets.
Often it is named in conjunction with the keyword big data, analytics and digitalization. As big data and analytics are on top of many CEOs list, a significantly high adoption is assumed.
According to the study the “break through” is not seen in the moment. But it’s expected within the next 2 -3 years because of
– understanding the business value, the
– product handling and
– skill gaps.
It’s might be worth full to take a minute and think about it. At the end of the day Hadoop is just a tool designed to solve a specific problem. As the business value isn’t seen so far it raises questions concerning the understanding of
– the problem as well as
– the tool.
The interesting thing with the “problem” is if there is really a one or is it just still “hidden” and most of the people don’t see it? Or the other way around is Hadoop seen as a complementary tool – to solve the already recognized “problems”?