Wir helfen Ihnen, Ihr Unternehmen besser zu verstehen, indem wir die Gesamtqualität und „Vertrauenswürdigkeit“ Ihrer Daten erhöhen und sie auf intuitive, nutzbare Weise an die Oberfläche bringen. Hier sind einige der typischen Kundenherausforderungen, die wir sehen.
DE_BI - Element - Siloed Ops
Isolierte Vorgänge bedeuten, dass wir keine einheitliche Sicht auf die Leistung haben.
False
DE_BI - Element - Trust
Ein Mangel an Datenqualität und Governance führt zu Intelligenzfehlern – wir vertrauen ihm nicht.
False
DE_BI - Element - Reports
Berichte sind wegwerfbar: Wir erstellen sie, um eine Frage zu beantworten, und verwerfen sie dann.
False
DE_BI - Element - Timescales
Wir können Daten nicht im erforderlichen Zeitrahmen zur Verfügung stellen.
False
DE_BI - Element - Locked
Unsere Daten sind unzugänglich / Wert ist in strukturierten Formaten eingeschlossen.
False
DE_BI - Element - Formats
Wir präsentieren Daten uneinheitlich und in unfreundlichen Formaten.
False
DE_BI - Element - Value
Wir generieren immer größere Datenmengen, aber wir schöpfen daraus nicht genug Wert.
False
DE_BI - Element - DS
Unsere Data Scientists machen coole Sachen – aber wir können es nicht sehen.
False
0
Grid
Four Columns
White
Center
With Borders
Small Image
Default
DE_Empty Space 1_1
Empty Space
False
DI_Diagram_Our resources and capability - BI
Our resources and capability.
Umfang und Fähigkeiten unserer talentierten Teams (und wo sie zu finden sind).
Wir arbeiten eng mit Ihrem Unternehmen zusammen, um Ihre Ziele und Datenanwendungsfälle zu verstehen. In Zusammenarbeit mit Ihren Teams und Stakeholdern brechen wir Silos auf und führen Datensätze über verschiedene Geschäftsbereiche hinweg zusammen, um eine einzige, zentralisierte Quelle der Wahrheit für eine genauere Analyse und Planung aufzubauen und zu etablieren.
Unsere starken Designprinzipien für Dashboards stellen sicher, dass wir für schnelle Einblicke optimieren. Wir liefern ansprechende, prägnante und überzeugende Visualisierungen, unterstützt durch leistungsfähige, skalierbare und logische Datenmodelle auf einer Plattform, die alle Ebenen der Datenreife und -komplexität unterstützt.
False
Value Proposition Inverted
False
DE_BI - SelfServe
DE_BI - SelfServe
Self-Service-BI.
Unsere BI-Berater können Sie auch in die Lage versetzen, Berichte, Dashboards und Visualisierungen ohne Eingriff schnell zu entwickeln, zu verwenden und zu teilen, die den Zustand und Erfolg Ihrer Geschäftstätigkeit genau widerspiegeln.
Wir entwerfen vielseitige Modelle, die große Mengen unterschiedlicher Daten auf potenzielle Trends in Low-Code- und No-Code-Umgebungen untersuchen, sodass Sie bei Bedarf personalisierte/benutzerdefinierte Berichte und Visualisierungen erstellen können.
False
Value Proposition
False
DE_What it means to you table - BI
Wie wir arbeiten und was es für Sie bedeutet.
DE_Wie es funktioniert und was es für Sie bedeutet.
Wie wir arbeiten.
Was es für Sie bedeutet.
End-to-End-Berichtsinfrastruktur mit optimierter Pipeline zwischen Datenquellen und Bereitstellung von Geschäftseinblicken.
All-in-one-Reporting-Engine, die Ihre Intelligence-Reise ankurbelt.
Echtzeit-Einblicke und BI-Systeme, die Live-Metriken anzeigen.
Ermöglicht Betriebsanwendungsfälle, die umsetzbare und sofortige Einblicke erfordern, die über den traditionellen strategischen und rückwärtsgerichteten Fokus hinausgehen. Ermöglicht schnelle und effiziente operative Reaktionen.
Endnutzerorientiertes, intuitives Frontend-Design, das die Qualität der Geschäftskommunikation betont.
Der Weg zu Erkenntnissen ist ansprechend und beschleunigt, was entscheidend für die Förderung einer Datenkultur in Ihrem Unternehmen ist.
Starke Verbindungen in die Ascent Data Science-Praxis.
Nutzt eine veränderte Denkweise und erweiterte Analysefunktionen, um spürbare geschäftliche Auswirkungen zu erzielen.
Teil eines breiten, ausgereiften Angebots, das Data Engineering, Consulting und Data Science mit Softwareentwicklung und Design Thinking kombiniert.
Direkter Weg zum Aufbau überzeugender Geschäftsservices zusätzlich zu Ihrer BI-Investition.
True
Base
False
IN AKTION
DE_DATA - BI CaseStudy
ECB
Optimierung der Spielerleistung mit Daten.
Ascent ist stolz darauf, der erste offizielle Performance-Insight-Partner von ECB Women’s Cricket zu sein, und liefert dem ECB-Management und den Spielern topaktuelle Einblicke, die Entscheidungen zur Leistungsoptimierung in Echtzeit sowohl in langfristigen Coaching- als auch in Spielserienszenarien ermöglichen.
Wir haben eine Reihe von Datenquellen identifiziert und verbessert, einschließlich eines zentralisierten Hubs für Spielaufnahmen, die dem Support-Team der England Women’s Performance einen 360-Grad-Blick auf die medizinischen, coachingbezogenen, physiologischen, das Wohlbefinden und die psychische Gesundheit betreffenden Faktoren geben würden, die zu erfolgreichen Leistungen beitragen . Das Entwerfen und Erstellen des Gesamtbildes mit aussagekräftigen Daten ist entscheidend, da es dem Team hilft, fundiertere Entscheidungen zur Unterstützung von Spielern zu treffen, die Auswirkungen von Gesundheit und Wohlbefinden auf die Leistung zu verstehen und Trainingspläne zu optimieren und zu konsolidieren.
DE_Logo- Data - Case Study - BI Services
Logo
False
Career Progression Services
False
DE_Empty Space 1
Empty Space
False
Unsere Kunden.
Wir lieben, was wir tun, und wir arbeiten mit einigen der klügsten Köpfe in den klügsten Unternehmen zusammen: von Smart-Home-Geräten, Weltraumforschung und Bier bis hin zu Fertigung, Finanzen, Ökologie und Logistik.
Erstellen Sie überzeugende Omnichannel-Erlebnisse von der Bar bis zum Browser.
BREWDOG
Optimierung von Leistung und Support mit 360°-Einblick in das Elite-Frauenspiel.
ENGLAND & WALES CRICKET BOARD
Demokratisierung von Daten zur Einbindung neuer Gemeinschaften und zum Schutz des britischen Meeresbodens.
THE CROWN ESTATE
Bereitstellung der horizontalen Skala, um in neue medizinische Forschungsfelder zu expandieren.
HANSON WADE
Verbesserung der Erfahrung und Vereinfachung des Lebens für Heimautomatisierungskunden.
HIVE
Bringen Sie On-Demand auf die beliebteste Plattform für TV-Listen und Rezensionen in Großbritannien.
RADIO TIMES
Kosten senken, Innovationen beschleunigen und neue Talente im Gesundheitswesen gewinnen.
Our Chief Data Scientist, Rich Pugh, on data within successful digital transformation.
Watch & listen
With over 80% of organisations now engaged in a digital transformation with data at its core, there is clear appetite amongst leaders to evolve and create more data-enabled businesses. Ascent’s Chief Data Scientist, Rich Pugh and his team discuss what an organisation needs in place to ensure a transformation doesn’t grind to a halt before it starts delivering value.
Our Chief Data Scientist, Rich Pugh, on data within successful digital transformation. by Ascent
False
False
False
2022-11-04T22:00:00Z
Our Chief Data Scientist, Rich Pugh, on data within successful digital transformation.
Organisations increasingly understand that data is critical to their future success.
With over 80% of organisations now engaged in a digital transformation with data at its core, there is clear appetite amongst leaders to evolve and create more data-enabled businesses.
However, many transformations struggle to get off the ground, or stutter at the early stages. In the first episode of The Data Conversation we will discuss the things an organisation needs in place to ensure a transformation doesn’t grind to a halt before it starts delivering value. For this discussion I will be joined by Branka Subotic & Jon Stafford, both Principals in the Data Consulting team at Ascent.
What you’ll take away.
An understanding of the foundations of successful data transformations
How to remove culture as a potential barrier to success
A clear view of your path to readiness
Top tips on how to identify and deliver enduring business value
Rich Pugh
Chief Data Scientist
Ascent
As Chief Data Scientist at Ascent, Rich is passionate about delivering pragmatic advice to leading organisations on data-driven transformation and building successful data science teams.
With more than 20 years’ experience helping companies create value from data, Rich has worked across a variety of industries, helping businesses around the world increase profit margins, solve operational challenges and delight their customers.
Rich is a strong believer that there is nothing analytics can’t do and strives to help organisations leverage the power of their data.
Do you know who owns the data in your organisation? Should you care?
Blog
Branka Subotic, Ascent’s Principal Data Consultant looks at the various data roles within an organisation and the business-wide responsibility to make data-led business decisions.
data ownership, data owner, data steward, technical strategy, data & analytics, data-driven, data custodian
True
True
False
2021-12-12T00:00:00Z
Do you know who owns the data in your organisation? Should you care?
Data is arguably the biggest asset an organisation owns - but who’s ultimately responsible for it? Ascent’s Principal Data Consultant Branka Subotic considers the roles and responsibilities of data ownership.
Have you ever sat in a meeting with your Board or executive team when a really obvious question was asked that nobody truly had an answer for? Do you recall an uncomfortable silence followed by a senior leader providing a half-baked response (whilst two other senior leaders frantically messaged their teams)?
If you do (and you are not in the minority!) - ask yourself this: who should have had the answer? Who owns data in your organisation?
Data should drive ALL business-critical decisions.
The Covid-19 pandemic has disrupted (and is still disrupting) most industries. For some, it has led to a complete standstill for few months, and an urgent need to re-finance and cut costs. For others, it has meant a boost in sales and unprecedented growth.
Regardless of where your business stands in between these two extremes, you can say that it has taught us all how important it is to have accurate, readily available data that informs critical business decisions. Often, this is data which describes productivity per location, per sector, per type of product, per team, per employee, or it simply indicates the actual number of products sold, customers engaged, or employees in the company.
Let’s run with the latter example. If you ask HR how many employees there are, you will get a figure including everyone who has a contract with the company, permanent staff as well as contractors, but also staff who are on unpaid leave, special leave, sabbatical, secondment, etc.
If you ask Finance, you will get a number that reflects staff on the payroll. Therefore, the answers to the same question from HR and Finance will be different – but both can be considered ‘correct’. But which answer should you use to drive your business?
Governance and trust: data roles.
Data and analytics assets exist everywhere across an enterprise and vary in nature – and not all data and information is equal. Gartner suggests establishing a trust-based governance model that:
supports a distributed ecosystem of data and analytics assets
acknowledges the different lineage and curation of these assets, and
assists business leaders in making contextually relevant decisions with greater confidence.
The last point above is key - it all comes down to context. If we consider our earlier example, the scenario might be that the CEO is asking how many employees the company has because they need to decide how many they will furlough. Providing this kind of answer is only possible if the ‘People’ data in this company has a single owner who has a framework in place to steward the relevant data sets and deliver context-specific, relevant answers to organisational questions.
Which brings us to data governance roles. There are various approaches to the delineation of responsibilities around data but one of the simplest (and therefore my favourite), is the distinction between Data Owner, Data Steward and Data Custodian. You can read vast amounts of material on each of these roles from either Gartner or DAMA, but, succinctly, this is what they mean to me:
A Data Owner is the person accountable for the specific and logical groups of data assets (in our example, all data sets that constitute ‘People’ data), whether generated by the company or 3rd party (e.g., postcode database). The Data Owner can be a member of the executive team or a senior manager with delegated authority and a vested interest in ensuring data is managed appropriately.
A Data Steward is responsible for maintaining specialist knowledge about their data area, putting into place acceptable use of this data, maintaining necessary records about the data (metadata) and is consulted for operational advice regarding any changes about the acquisition, transformation, storage and consumption of this data (where consumption includes both human and system usage). They implement data strategy enterprise-wide for their data area and are also responsible for performing any transformations required for their data assets.
A Data Custodian is responsible for a set of data. Data Custodians are essentially data administrators who focus on the ‘how’, rather than the ‘why’ of data management. Data Custodians must communicate and collaborate with the Data Steward regarding any technical activities that impact the data within the Data Steward’s scope.
Here’s how that looks in practice:
Data governance ensures that the right people are assigned the right data responsibilities. It is mostly about strategy, roles, organisation and policies, whilst data stewardship is all about the execution and operationalisation of said policies for the benefit of the whole business, making sure that the data is accurate, in control, and easy to discover and process by the relevant parties.
NB: It is very important we do not mix Data Stewardship in any way with the business function within which the Data Steward happens to sit. The role they perform is company-wide.
In our previous example, the Data Steward for the ‘People’ data may well sit in the HR department, but they are responsible for the single source of truth for a total number of employees, staff demographics, contact details, licences/ qualifications and their validity, etc. Similarly, the Data Steward for the ‘Customer’ data could easily sit in the Commercial department, but their remit is to manage a complete and accurate set of customer data for the whole of the business.
“So what?”, you say. Why should you care about all of this?
It all comes down to a single source of truth. When your Executive asks a question, you want to make sure there is a single party responsible for getting to the answer, using a managed, quality-checked data source or sources. You want to prevent different parties going off on a tangent trying to answer the same question in silos, using locally produced data sets that are not quality checked, resulting in different answers, delivered in different formats with a range of differing assumptions.
What is good is to start asking this question today (not next week, or the week after). The longer you let the business evolve without a clear answer to who the data owners are, the longer you will lack clarity about your business, its performance, and clear lines of accountability.
So see your data for the asset that it is: go ahead, be brave, ask the question. And if you need a hand, the Ascent team is here to help you every step of the way!
Branka Subotic
Principal Data Consultant
Ascent
A strategic thinker, Branka is passionate about data, specialising in strategy and transformation. Branka’s primary role at Ascent is to help customers turn data into insight to support operational decision-making, having established her credentials in a mission-critical context: leading key alliances and advanced analytic teams in European air traffic management for over 15 years.
Branka is also a Chartered Engineer with a PhD in air traffic management, an MSc in aeronautical science and an MEng in air transport engineering.