Build more analytics capacity

Get the data analytics capability you need without building everything in-house

KEPLER Advanced Analytics delivers a full range of Data Analytics Outsourcing Services. Whether you need help building your data engineering practice, creating Business Intelligence reports, supporting Advanced Analytics or handling other analytics activities, we have the subject matter experts to assist.

Most organizations have plenty of data, but converting it into something reliable, useful and easily actionable for other teams is a very different issue. Instead of analysing information that already exists within ERP systems, CRM software, spreadsheets and databases, analysts can spend most of their time setting up, updating, cross-checking and adapting data. With the steady increase in requests for dashboards, regular reports, forecasts and more complex analytics, many companies struggle to keep up with the resulting analytics workload.

The problem

When data analytics demand outgrows the team

01

Data preparation becomes the workload

Often, a large portion of a data analyst's time is taken up with preparing data for analysis. Repeating the same tasks again and again can limit the time available for deeper analysis and make it harder to get the full value from existing skills.

02

Specialist skills are difficult to scale

Need specialist skills for a single project? KEPLER can provide the experts needed to support your analytics requirements without requiring you to build every specialist capability internally.

03

Business questions move faster than analytics

Business questions are developing faster than analytics teams can sometimes handle. As reporting requirements, analysis requests and new projects continue to grow, internal teams can quickly become overloaded.

What we do

An analytics team that works alongside yours

01

We act as an additional team, support your internal team on specific projects, or provide ongoing analytics support to create the required analytics capacity.

02

Our expertise supports different stages of the analytics lifecycle, including data analysis, business intelligence, advanced and predictive analytics, and data science. We can deliver specific elements of the analytics function based on your requirements without the need to recruit and develop all of the necessary expertise in-house.

What you get

Our Data Analytics Services

Data preparation & integration

Clean, structure, combine and prepare data from different business systems so it is ready for analysis.

Data analysis & insights

Analyse business data to help teams understand performance, identify trends and answer specific questions that support better business decisions.

Business intelligence & dashboards

Build dashboards and reporting that allow management and operational teams to easily view relevant business metrics.

Advanced & predictive analytics

Apply statistics, predictive models and advanced analytics to support better forecasting, planning and decision-making.

Data science support

Bring data science support into advanced modelling, experimentation or more complex analytical problems, including situations where existing approaches need to be challenged.

Ongoing analytics support

Continue providing reporting, analysis, dashboards, data models and other elements of analytics as requirements change over time.

Book a 60-minute working session

Bring a real business question, report or dataset — we’ll show you how KEPLER would approach it, with no obligation.

Book a 60-minute session
Where we start

A focused, low-risk first step

There is no need to outsource the entire analytics function to test whether an external team can provide the support you need.

We usually start with a specific requirement:

  • A dashboard that needs to be built
  • A reporting process that takes too much manual effort
  • A data analysis project waiting for resources
  • A forecasting or predictive analytics requirement
  • A data preparation or integration bottleneck

We can deliver value from the start of an engagement and then expand the analytics support as required.

Sample outputs

Typical data analytics artifacts you’ll receive

Management dashboardsAutomated analytics reportingBusiness data analysisData models and analytics pipelinesForecasting and predictive modelsData science models
Where it applies

Where this work applies

Analytics can support almost any business function, but the questions are rarely the same. We shape the work around how your teams operate, the metrics they track, and the decisions they need to make.

How we work

From business question to dependable analytics

The same practical approach, whether we’re supporting one analytics workstream or working as an extension of your broader team.

01

Understand

We understand the business requirement behind the need for additional analytics capacity, the existing data environment, current reporting processes and the expected end result.

02

Connect

We connect the relevant data sources and establish how data needs to be processed between systems, databases, files, applications and analytics platforms.

03

Engineer

The data is cleaned, structured, transformed and prepared so that analytics work can be built on top of it.

04

Analyse

We develop the necessary dashboards, reports and data analysis, including predictive models or data science solutions where required.

05

Improve

We refine and develop the analytics, automate regular work and provide ongoing support as requirements change.

Outcome

More analytics capacity. Less analytics backlog.

The business should be able to get the answers it needs without creating more work for internal teams.

  • Reduce the time spent on manual data preparation and reporting
  • Access specialist analytics and data science skills as required
  • Deliver dashboards and analysis faster
  • Scale analytics capacity around changing business requirements
CapacityExtended
ReportingAutomated
InsightsDelivered
CapabilityScaled
FAQ

Common questions

What is Data Analytics Outsourcing?
Data Analytics Outsourcing is the use of an external team to support part or all of an organization's data analytics requirements. This can include data preparation, data analysis, business intelligence, advanced analytics, predictive analytics, data science and ongoing analytics support.
What Data Analytics Outsourcing Services does KEPLER provide?
We support our clients with data preparation and integration, business intelligence, data analysis, advanced analytics, predictive analytics, data science and ongoing analytics operations.
What is the difference between Data Analytics Outsourcing and Data Analysis Outsourcing?
Data Analysis Outsourcing generally refers to analysing existing data to answer specific business questions. Data Analytics Outsourcing covers a more comprehensive cycle, including data preparation, BI and reporting, data analysis, data modelling and analytics operations support.
Can KEPLER work with our existing analytics team?
Yes. Our team can work alongside internal teams consisting of data analysts, data engineers, Business Intelligence developers and data scientists. We can execute a portion of the analytics function or support the team as required.
Do we need to outsource our entire analytics function?
No. Data Analytics Outsourcing does not have to start with the entire analytics function. KEPLER can support a single project, provide reporting or data analysis, or support a specialist function within an organization and grow the engagement as required.
Can you provide Data Analyst Outsourcing support?
Yes. We can provide Data Analyst Outsourcing support for reporting, business analysis, data preparation, dashboard development and other analytics requirements. The scope of work can vary depending on your needs.
Does Data Analytics Outsourcing include Data Science?
Yes. Where a requirement involves predictive modelling, machine learning, statistical modelling or other advanced analytical methods, our data science capability can be brought into the engagement.
Can KEPLER work with our existing technology and data systems?
Yes. Our Data Analytics Outsourcing approach can be configured around your existing technology stack, including data sources, databases, reporting tools, data warehouses, ERP and CRM systems and other platforms.
What should you look for in a Data Analytics Outsourcing Company?
An effective Data Analytics Outsourcing Company should understand both the business challenge and the technical requirements involved in implementing analytics. It is also important to look for a provider with capabilities across data engineering, business analytics, business intelligence and data science, along with the communication skills required to work effectively with internal teams.
Is Data Analytics Outsourcing suitable for companies with an internal analytics team?
Yes. An external analytics team can provide additional capacity when internal teams become overloaded. Resources can also be scaled up for short-term requirements without requiring permanent additions to the internal team.
Related

Connected expertise

Supply Chain Analytics

Supply Chain Analytics

A real-time control tower across the chain.

Business Intelligence & Power BI

Business Intelligence & Power BI

Governed dashboards and self-service.

Data Engineering & Integration

Data Engineering & Integration

Pipelines, integration and automation.

AI & Advanced Analytics

AI & Advanced Analytics

Predictive, prescriptive and AI-driven models for more complex business decisions.

Data Analytics as a Service (DAaaS)

Data Analytics as a Service (DAaaS)

Flexible access to analytics expertise without building the complete function internally.

Managed Analytics Services

Managed Analytics Services

Ongoing analytics support for organisations that need a dependable external capability.

Build the data analytics capability your business needs

You do not need to develop every analytics skill in-house to get more out of your data. KEPLER Advanced Analytics provides the required people, technology expertise and ongoing support to move your analytics projects forward.

Talk to KEPLER Advanced Analytics Team