Advanced Consultancy | Our services
We have three areas of expertise – Planning automation and Business intelligence, Consulting services and Perspective ML & AI solutions.
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Right ways to get advanced

We are Advanced. Advanced by name, Advanced by nature. We are running a consultancy with our “tri-A” – Analytix, Adwise and Augmento. Each is meant to help streamline businesses, so they get faster, simpler, and most importantly, Advanced.

Choose a business unit to learn more

analytix

IBP Automation

Performance Management

Business Intelligence

We have devoted ourselves to seeking out IT platforms globally which have proved to be the best in breed and recognized by major companies. Those solutions are capable of automating core business processes like S&OP and IBP, Sales planning, Financial Management and bringing out valuable data insights and connecting people across the organization around a single handy business management dashboard.

Best in breed

We are visionaries. We are the early birds seeking the most potential solutions worldwide which can solve complex issues for businesses. We select systems at different life-stages and of a different caliber, but all of them stand out among their peers.

Not by IT alone

Though we are IT ninjas, we know it well that a platform won’t do its job if core business processes are flawed. That is why our approach is to first help you implement the right processes so that the chosen IT platform gets up and running to the fullest.

Glocal scale

Being natively Russian, we started doing business here 10 years ago. Today we are rolling out solutions for top multinational companies in more than 20 countries which makes us a truly “glocal” phenomenon.

Businesses facing the challenge

There are commonly spread issues which make companies for an IT solution. Depending on our diagnostics, it comes down to either aiding in streamlining an integral planning process (or just a specific part of it) or accommodating lots of company-wide data in to one place to let it work to the fullest potential.

Planning Automation

  • Operational, Strategic and Financial planning are not linked
  • Plans and annual budgets are often not well connected as numerous spreadsheets and systems are not integrated or unified
  • Demand plans become stale and out of date impacting supply chain planning accuracy
  • Assembling data sets manually and validating their accuracy is too time consuming for fast planning cycles
  • Domination of spreadsheets across key planning streams creates errors and wastes time
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Business Intelligence

  • All company-wide data is disparate and not managed integrally
  • No capabilities for the business to act on real-time data which hampers the quality and speed of decision making
  • Outdated collaboration methods between the teams around data
  • Data is not able to self-organize to make relevant business stories, generate insights and alert on issues and opportunities
  • Current BI is not agile, simple and intuitive enough to be leveraged by any employee at any level

Need advanced solutions

Anaplan – for an Integrated Business Planning automation and Domo – for a real-time Business Management – these are, probably, the two most advanced IT tools on the market for helping companies to run simpler, faster and more efficiently.

IBP automation

Platform

The Anaplan Connected Planning platform is one of the world’s leading solutions for IBP, Performance Management, Financial Management and Budgeting, S&OP and HR planning.

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Meant for uniting teams, their plans and data across all levels to enable Integrated Planning across the business

  • Eliminates Excel© in all areas of the planning process automation
  • Works as a precise solution for a single micro process like Promo planning or as an overarching solution for integral processes like IBP and Financial planning
  • Gets supported and developed by the business, not external consultants giving the business more independence and saving costs
  • Can expand beyond your company borders to connect external partners into the planning process

Click to find out more about Anaplan

Business Intelligence

Platform

Domo is a real-time Business Management platform uniting unstructured business data from any source together with individual, social and artificial intelligence into a single, easy-to-use and visually appealing dashboard.

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Is a handy, easy-to-use business management tool which radically reduces the time spent between a business event and action in real time.

  • Unites and transforms hundreds of disparate external and internal data sources into powerful insights and alerts thanks to a built-in AI machine
  • Makes data self-organize into visually superior, multi-layered business stories which are all interdependent
  • Has a built-in collaboration platform DomoBuzz to share, comment, annotate and take immediate action
  • Accessible from any device with an ultra-adapted mobile version via Domo app for iOS and Android

Click to find out more about Domo

Our customers

We have been doing business for 10 years using Anaplan and Domo platforms in various cases for the industry leaders in Russia and across the world.

S&OP | Business Intelligence | Executive Dashboards

Financial Planning and Analysis | Data Integration

Sales | Promo | Production and Logistics | Financial Planning and Analysis

Financial Planning and Analysis | Production | Sales | Data Integration

Sales | Promo | Finance

FP&A with a detailed Commercial Planning

Management Consulting

Financial Planning and Analysis (FP&A)

Transport | Commercial Planning and Pipeline Management | Scenario Planning | Production and Capacity

Analytics with attitude

This is the team who made the dream come true – the dream to run an IT consulting practice to help people in the business do less useless work and focus on creating ideas for the good of the business. Get to know just a few from our extended team.

adwise

Methodological Advisory

Management Consulting

Change Management

Adwise is the people. As simple as that. People are what determine our success and are what make it all matter to our customers. We battle any hierarchies, seniority titles. Anyone can get the ball rolling, anyone is able to lead the way. We put people first.

Click on each one on the picture to learn about the roles

Leonid Trotsenko

Managing partner, operational and strategic planning advisor

Konstantin Zubkov

Financial consulting practice lead

Oleg Korshchikov

S&OP advisor

Gurgen Melkonyan

Managing partner, marketing & strategic business management advisor

What we help businesses with

Our consulting practice is spread across three main streams– Methodology Advisory as part of IT platform projects, pure Management Consulting services and Change Management consulting.

Methodological Advisory

Methodological Advisory

When the team Analytix is doing their job getting the platform installed, we supervise the rollout throughout the whole project to make sure customer expectations are met and the platform lands well.

Management Consulting

Management Consulting

We are experts in building from scratch or revamping cornerstone processes of the business which are S&OP, IBP, Finance management, Marketing and Strategic management.

Change Management

Change Management

We can do Change Management consulting related to an IT platform launch or as a standalone service if it is needed.

Methodological advisory

When the team Analytix is doing their job getting the platform installed, we supervise the rollout throughout the whole project to make sure customer expectations are met and the platform lands well.

What it takes

  • Kick off phase. Define the need and document the scope for the IT platform based on the client’s brief and additional interviews or a snap audit
  • Process design phase.Map out the exact process which needs to be automated, then help IT modelers design the right platform setup. We normally adjust or upgrade your current process to unlock the full potential of a chosen IT platform
  • Ready-to-start phase. Assist in training internal teams on the specifics of the platform and the upcoming project, shape up and agree on a change management plan, build a “Change agents” team
  • Implementation phase. We will be with you during the whole project and will participate in user acceptance tests to get the platform fully operational on day one
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Who makes it

SME

Subject Matter Experts aka SME

Specializing in specific processes like Finance, S&OP, Integrated Business Planning (IBP), Financial Management, Marketing and Strategic management, they provide methodology consulting services in automation projects.

Management Consulting

Pure Management Consulting services can be on different scales – from a quick-to-complete intervention into a specific burning issue, to a full-fledged project such as an S&OP relaunch company-wide.

Integral

consulting

Profound, full-fledged investigation and revamp of a process

Integral

consulting

  • Projects of 3 months and more
  • An end-to-end process consulting around S&OP, IBP, Finance management, Innovation management, Strategic Management
  • Building a group “Agents of change” who significantly contribute to the project
  • Not only recommendations on what to change, but also a change management service

Intervention

consulting

Targeted intervention to diagnose and treat a specific part of a process or a problem

Intervention

consulting

  • Projects of less than 3 months
  • Addressing a topical specific issue
  • Exists in a form of a process audit with recommendations or tackling specific aching areas within a process e.g. accelerating a demand planning stage within IBP
  • Includes services like Chairing (running core meetings), Facilitation (running work groups) and Coaching (skills upgrade for core teams)

Supervisory

consulting

Extended progress supervision

Supervisory

consulting

  • Supervision of a process evolution either after its reload or when minor setbacks take place
  • Reporting of key pain points identified over a period and assistance in fixing them
  • 2 express audits with recommendations and 50 hours of consulting for a 6 months period

Financial Consulting

We consult on Financial Management, Corporate Finance and Strategic financial planning. We help companies to adapt to the changing business environment by driving growth and maintaining costs through their organization’s business planning and management processes.

We improve financial planning and analysis (FP&A) processes by focusing on these pivotal improvements

1

Evaluating and fine-tuning

Financial processes so they are relevant to the strategy. Implementing flexible processes for evolving strategies

2

Incorporating

non-financial business drivers into FP&A processes – improving alignment with an S&OP process

3

Stimulating

Insights – assistance with management reporting, analysis and business partnering efforts

4

Shortening

Cycle Time – required for development of a new plan or forecast, resulting in more timely FP&A information

5

Long term planning

Assisting the organization in implementing a forward-looking approach

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Adjusting

Levels of detail – helping to focus the organization on planning sustainably for the long term

Change Management

Change is the only constant element in business. The adaptation to change is a differentiating factor for companies. We are able to support you in change management related to the IT platform launch or as a standalone service for any of your projects. We look at change management from three different perspectives.

tip

Click on each petal to learn more

People

The necessary changes in mindset, behaviors and culture

Process

The change in tasks & activities, and their connections

Technology

The new platforms & interface with an existing system landscape

Change Management

Change is a healthy and vital part of any organization. However, change can be quite difficult. Based on our experience, there are a couple of typical issues which companies encounter while implementing change – as shown below. We also describe our approach on how to best overcome them.

Common issues

  • Resistance to change. Employees are often concerned with how the change affects themselves or their department. This can happen during all phases of the changing project, and even after the change has been implemented
  • Communication issues. Many companies do not have the right communication on changing projects with their employees. They often have too little communication, too few stakeholders involved, and the wrong content shared
  • Poor planning. Many changing projects fail because their scope is not clearly defined, or the definition of the success is not properly endorsed. Timing gets regularly shifted because there is no follow-up on the plan
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Our solutions

  • Employee engagement. It’s important to build the employees’ understanding of the upcoming change (and particularly in the ‘WHY’ department), and actively involve them in the project. Also, an effective training program is essential to ensure a successful implementation
  • A communication strategy. A consistent communication plan should be developed, using diverse channels and different stakeholders involved. Two-way communication is key, as employees should get the chance to have their feedback or concerns addressed
  • A consistent change plan. We have developed a 9-stage model which can be applied to all projects we’re dealing with. It includes accurate planning and organization of the implementation, including the celebration of quick wins and long-term gains

Free and easy start

It’s never about pushing you to start, no matter what. We want you to have cool nerves and a well-rounded picture before you let us in. Therefore, there are three preliminary steps which cost you nothing!

0 Free of charge

Adwise methodology presentation and getting an initial brief from a client

0 Free of charge

Division Leaders and Board of Directors interviews

0 Free of charge

Decision on the project’s rationale, alignment on the project’s objectives, scope, expected outcomes

FINAL CALL TO START

1

Project Launch

Flexible Methodology focusing on Objectives and Quick Wins

CLICK TO START

augmento

Predictive analytics

Machine Learning

Artificial Intelligence

While doing planning automation, it became clear that the time had come for advanced AI-enabled forecasting solutions to replace widely used statistical methods.

This led to the creation of the Augmento business unit which employs data scientists, data engineers and business process consultants.

We have a very specific work domain. We develop forecasting models using the most progressive machine learning algorithms. These include demand forecasting, replenishment, innovations planning, promotions planning, as well as assistance in adjusting your current planning and S&OP processes to accommodate a ML-enabled forecast.

Machine Learning has opened up a new era of forecasting. It gears businesses up for management by exception when time and resources are focused on what makes a real difference. 

OUR SERVICE

Solutions
  • Machine Learning-enabled forecasting
  • Front-end visualization of model outcomes (forecast) for analysts and business users
Deliverables
  • Forecast accuracy growth
  • Forecast bias decrease
  • Less resource intensive forecasting
Technology
  • Multivariate Machine Learning algorithms:
– Gradient Boosting– Neural networks– Random Forest– ArimaX– Ensemble

A NEW ERA OF FORECASTING

Univariate

Statistical models


Highly dependent on expertise and availability of responsible people

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Multivariate

Machine Learning algorithms


Process any available internal and external data sources to find the best correlations and build an optimal forecast

Managing by exception when it comes to forecasting

FORECAST BASED ON BIG DATA

Actual sales

Trade terms

Promotions

Assortment movements

Customer stocks

Weather

Store openings

Market data

Pricing 

Media spend

Other data to feed

Competitive moves
Macroeconomic indicators
Holidays

CORE STAGES OF LAUNCHING THE MODEL

1

Data & Process discovery

Investigation into all input data available to build the model as well into the current Forecasting and S&OP processes to fit in. Alignment on Project goals and KPIs before the start.
2

Causals engineering

Selection of relevant data inputs (causals) to start building algorithms. Data pre-processing to feed into the model.
3

Algorithms development

Writing scripts for chosen multivariate ML algorithms like Gradient boosting, Random Forest, Neural network etc. Training and testing for stability, bug fixing.
4

Algorithms tournament

“Tournament” – the model picks up the most suitable algorithm for each forecast item so in the end there is an ensemble of various algorithms which make up an integral model.
5

Product segmentation

ML-generated forecast is split into 3 core segments: No touch, Light touch и Heavy touch depending on the need to manually adjust the forecast.
6

Frontend visualization

The model output can be displayed in Domo or any other BI platform via a special dashboard for planners and S&OP managers as well as for business users.

TIME SPEND TO LAUNCH THE MODEL

It’s more complex than just algorithms, predictions and code

Архитектура решения

Архитектура решения

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ACHIEVABLE ROI OF THE PROJECT

If Forecast accuracy grows by + 10%

Productivity growth

Less manual work:

  • Less time to collect data
  • Less errors and time spent to correct them
  • Less IT involvement
  • Less time for forecasting

Higher forecast accuracy => more reliable P&L => higher quality management decisions 

More accurate long term forecast => more sustainable production facilities utilization => higher quality CapEx decisions

Higher customer satisfaction: better contract terms, less penalties, stronger negotiation power

Costs optimization

Less out of stock:

  • Higher service level + 3%’
  • Higher revenue +1%’ (a conservative estimation for highly efficient business)

Less overstock

  • Optimized stocks – 25%’
  • Less write-offs- 17%’

Leaner production

  • Higher OEE (by up to 11% due to a more forecastable production schedule’)
  • More sustainable and efficient labor management

‘Based on an internal assessment by Advanced

FREQUENTLY ASKED QUESTIONS

1

How do you prove that a ML-based forecast is better than the existing one?

During the Test stage, followed by Train (model building), we create a forecast and compare it with historical data for a selected period, as well as with an existing statistical forecast that was available at that time. Then after launch, we track accuracy by comparing actual data (e.g. registered inventory) with ML forecast data, created several weeks back (usually 4-6 weeks back).
2

Which are the key requirements for data to build and run the model?

No less than 2 years of historical data, several input causals to feed the model (e.g. sales, promotional spend, inventory, distribution etc.), a reliable future forecast for each causal so the model can generate a quality forecast.
3

Does the model create a total forecast or a baseline forecast?

A total forecast containing all relevant forecast drivers which come out of causal data. The model can also be tuned to generate a cleansed forecast called Baseline.
4

What is the forecast horizon which comes out of the model?

The horizon is directly dependent on a future forecast for each causal. For instance, if a forecast for promo investments is available for the next 3 months, the model will generate a reliable 3-month future forecast.
5

Can the model be based only on a single causal?

Potentially yes, but the potential of multivariate algorithms would be lost. There should at least be historical data for a target forecasting metric (e.g. sales) and data for that single causal, for example, promotional expenses to develop and make the model work.
6

What do you mean by “manage by exception?”

The forecast generated by the model is split into several segments: 1) No touch – this is a forecast (e.g. a sales forecast), which does not require review by forecast specialists; 2) Light touch – a forecast which is recommended to be double-checked by experts; 3) Heavy touch – a forecast which has to be created manually. For example, when it comes to a sales forecast, these are the products which have no historical sales data.
7

Does the model have any limitations?

Historical data (no less than 2 years), as well as a future forecast for all chosen causals, are instrumental in making the model run well. In the case of data insufficiency for certain forecasting items, a “no touch” approach will have to be used for manual correction.
8

How long does it take to launch the model in full?

It depends on the complexity of the brief (e.g. a model for the whole business or a part of it), data accessibility etc. On average, the project takes 4-6 month.
9

What is specific in your approach to one of the big consulting firms like BCG, SAAS have?

First, we deliver an open model, not a black box. This means that after launch, a client can develop and support the model themselves without our involvement. Second, our team of data scientists and project managers have extensive experience in working in planning departments of big multinational companies. Third, a relatively low cost of model development and support. Thanks to a frontend visualization solution like Domo, each business user in a few clicks can understand what the forecast is made of and what the reasons are for all outliers.
10

What involvement from the business you need?

Mainly, a client needs to participate in helping define objectives for the project, reviewing all data available, providing needed access to databases as well as during the go-live stage when change management to existing ways of working and processes needs to be made.